Abstract: Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. We propose a different approach for securing data in the cloud using offensive decoy technology. We monitor data access in the cloud and detect abnormal data access patterns. When unauthorized access is suspected and then verified using challenge questions, we launch a disinformation attack by returning large amounts of decoy information to the attacker. This protects against the misuse of the user’s real data. Experiments conducted in a local file setting provide evidence that this approach may provide unprecedented levels of user data security in a Cloud environment.
Keywords: Mist, Insider data stealing, Bait information, Lure Files, Validating user
Cloud Computing Security :A broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
The document discusses cloud computing security. It outlines 12 major threats to cloud security according to the Cloud Security Alliance, including data breaches, compromised credentials, and denial of service attacks. It also describes security responsibilities for both cloud providers and customers. Effective security requires strong authentication, encryption, logging, vulnerability management, and defining security architectures tailored to the specific cloud platform. With proper precautions, customers can benefit from cloud computing while maintaining adequate security.
Cloud Insecurity and True Accountability - Guardtime WhitepaperMartin Ruubel
This document discusses cloud security threats and the need for accountability from cloud service providers. It outlines the top threats as data breaches, data loss, insecure APIs, and compromised credentials. The document argues that solely trusting cloud providers is not enough, and that independent verification of their operations and data integrity is needed. It introduces Guardtime's Keyless Signature Infrastructure (KSI) technology as a way to provide undeniable proof of a cloud provider's activities through independently verifiable digital signatures, allowing true accountability. KSI could enable capabilities like real-time integrity monitoring, attribution of network components, and improved incident response.
Global Security Certification for GovernmentsCloudMask inc.
Government endeavors to expand and make available the range of services to the largest possible numbers of users. At the same time, the public sector also works hard to improve its own internal operations and use the best possible talent it can get. Increasingly, there is also a need to improve the collaboration between different sectors of the government while ensuring that data privacy and security are not affected
The document discusses the Digital Trust Framework (DTF), which will use the TMForum's Open Digital Architecture (ODA) as a foundation. The DTF is being developed for 4IR environments and will provide a blueprint for modular, cloud-based, open digital platforms that can be orchestrated using AI. It will integrate ODA with other frameworks to ensure an overall digital trust approach for continuously evolving systems.
Cloud Computing Security :A broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
The document discusses cloud computing security. It outlines 12 major threats to cloud security according to the Cloud Security Alliance, including data breaches, compromised credentials, and denial of service attacks. It also describes security responsibilities for both cloud providers and customers. Effective security requires strong authentication, encryption, logging, vulnerability management, and defining security architectures tailored to the specific cloud platform. With proper precautions, customers can benefit from cloud computing while maintaining adequate security.
Cloud Insecurity and True Accountability - Guardtime WhitepaperMartin Ruubel
This document discusses cloud security threats and the need for accountability from cloud service providers. It outlines the top threats as data breaches, data loss, insecure APIs, and compromised credentials. The document argues that solely trusting cloud providers is not enough, and that independent verification of their operations and data integrity is needed. It introduces Guardtime's Keyless Signature Infrastructure (KSI) technology as a way to provide undeniable proof of a cloud provider's activities through independently verifiable digital signatures, allowing true accountability. KSI could enable capabilities like real-time integrity monitoring, attribution of network components, and improved incident response.
Global Security Certification for GovernmentsCloudMask inc.
Government endeavors to expand and make available the range of services to the largest possible numbers of users. At the same time, the public sector also works hard to improve its own internal operations and use the best possible talent it can get. Increasingly, there is also a need to improve the collaboration between different sectors of the government while ensuring that data privacy and security are not affected
The document discusses the Digital Trust Framework (DTF), which will use the TMForum's Open Digital Architecture (ODA) as a foundation. The DTF is being developed for 4IR environments and will provide a blueprint for modular, cloud-based, open digital platforms that can be orchestrated using AI. It will integrate ODA with other frameworks to ensure an overall digital trust approach for continuously evolving systems.
This document provides an overview of practical cloud security advice. It discusses security risks in cloud computing like unauthorized data exposure and loss of availability. It recommends technical controls like CASB for access monitoring, DLP for data protection, and IRM for persistent data protection. The document also stresses the importance of identity and access management, encryption, and secure configurations.
KSI for IoT Security - Turning Defence Into Offence - Guardtime WhitepaperMartin Ruubel
The document discusses Internet of Things (IoT) security. It defines IoT as physical objects containing technology to communicate and interact with their environment. The economic impact of IoT is estimated to be $6.2 trillion annually by 2025. IoT security faces challenges as it cuts across IT, operational technology, and telecommunications networks. The document proposes an approach using Guardtime's Keyless Signature Infrastructure (KSI) to securely integrate IoT across systems by verifying data integrity and authenticating devices. KSI would address constraints of real-time networks and help mitigate security risks like sensor network attacks.
This document discusses using the Keyless Signature Infrastructure (KSI) to secure Software Defined Networks (SDNs). SDNs centralize network control, which improves agility but also creates new security risks if the centralized control plane is compromised. KSI can help address these risks by cryptographically signing SDN configuration data and network policies. This allows any SDN component to independently verify that it is using untampered data, without requiring trust in the SDN controller. KSI signatures provide real-time detection of any unauthorized data changes. By integrating KSI, SDNs can assure the integrity of critical network control data and detect insider threats or data manipulation attempts.
This document reviews securing cloud data using fog computing. It proposes using user behavior profiling and decoy technology to detect unauthorized access to cloud data. User behavior profiling models normal patterns of how, when and how much a user accesses cloud data. Deviations from this baseline may signal a masquerade attack. Decoy information like fake documents are generated and can be returned to attackers, confusing them into thinking they have accessed real data when they have not. The document discusses these techniques and compares them to related work on using software decoys and addressing security and legal issues in cloud computing.
The document discusses five key security trends affecting security strategy: 1) Targeted attacks have revealed risks beyond just data exposure, requiring protection against these sophisticated attacks. 2) Data center transformation to software-defined services requires different security tailored to virtual/cloud constructs rather than traditional models. 3) Cloud security demands a strategy to keep data secure and compliant both in the cloud and to/from it. 4) Data protection must extend to intellectual property, risk management, and proof of due care. 5) Specialized environments like IoT shift security's role to protecting connected devices and their generated data.
Security and Privacy Issues of Cloud Computing; Solutions and Secure FrameworkIOSR Journals
This document discusses security and privacy issues related to cloud computing. It begins by defining cloud computing and noting its benefits. However, it also acknowledges security concerns, such as lack of control over data, network security issues, and potential insider threats. The document then examines specific security risks like weak client security, insecure APIs, lack of encryption, and not having backups and disaster recovery plans. It proposes some solutions like access controls, encryption, firewalls, regular security audits and penetration testing. Finally, the document presents a secure framework for cloud computing that incorporates many of these solutions to help providers and consumers mitigate risks and enhance security.
A Comparative Review on Data Security Challenges in Cloud ComputingIRJET Journal
This document discusses security challenges in cloud computing. It begins by providing background on cloud computing models including software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), and deployment models. It then discusses various security challenges including those related to deployment models, service models, and networks. Specific issues mentioned include data breaches, data loss, insecure APIs, authentication and identity management. The document also reviews related work on cloud security and provides a comparative analysis of encryption algorithms used for cloud security such as DES, Triple DES, AES, and Blowfish.
Guardtime's Keyless Signature Infrastructure (KSI) technology allows networks to be instrumented in a way that digital assets and components can be tagged, tracked, and authenticated in real-time. KSI signatures are based on mathematical proofs rather than cryptographic secrets, provide evidence of an asset's provenance like time and identity, and are portable across networks. This allows networks using KSI to detect compromises early and build an integrity picture of the network in real-time. In contrast, traditional approaches like PKI rely on secrets that can be compromised and don't work as well at large scale. For example, the Target breach may have been prevented if they used KSI to monitor the integrity of components in their network.
Darktrace enterprise immune system whitepaper_digitalCMR WORLD TECH
- Darktrace takes a fresh approach to cyber defense using advanced machine learning and mathematics rather than traditional perimeter-based security.
- Traditional security models that try to distinguish insiders from outsiders no longer work in today's globally connected networks, as threats are already inside networks and boundaries are impossible to define.
- An "immune system" approach that monitors subtle internal changes and behaviors is needed to detect emerging threats, rather than defining "bad" and trying to keep threats out. This embraces probability and understands what is happening inside complex information systems.
You are attending a workshop on security threats and how to address them, not a training. The presenters introduce themselves and their backgrounds. They discuss how security threats have evolved from viruses in the early internet era to today's more sophisticated targeted attacks. Microsoft's approach to security focuses on technology, processes, and people to manage complexity, protect information, and advance the business with IT solutions. Specific solutions discussed include Windows Firewall, BitLocker, and Network Access Protection.
Seven deadly threats and vulnerabilities in cloudcloudresearcher
This document discusses seven threats and vulnerabilities in cloud computing. It begins by introducing cloud computing and how it has evolved IT solutions by moving computing resources and data to large data centers. While this provides benefits, it also introduces security risks if threats and vulnerabilities are not addressed. The top seven issues identified are: abuse and nefarious use of cloud services, insecure interfaces and APIs, malicious insiders, virtual machine escape vulnerabilities, risk of data loss or leakage, account or service hijacking, and unknown risk profiles for organizations. Addressing these issues is important for organizations to trust cloud computing with their critical data and applications.
ThreatMetrix Profile in March 2014 CIO ReviewThreatMetrix
ThreatMetrix provides context-based authentication and a global federated trust network to help secure remote workforce access for enterprises. It analyzes login contexts and compares them to data from a global network of over 2,500 customers to identify high-risk connections. This allows businesses to streamline access for trusted users while detecting anomalies and reducing security risks, without overburdening legitimate users. The federated trust network grows more powerful as more customers contribute anonymous identity and transaction data.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
MD. Hasibur Rashid is a Computer Science and Engineering student at Patuakhali Science and Technology University in Bangladesh. The document discusses several types of cybersecurity attacks including denial of service attacks, man-in-the-middle attacks, network sniffing, port scanning, SQL injection, cross-site scripting, data breaches at cloud computing providers, accidental data loss by providers, and hijacking of user accounts. Countermeasures for these attacks include reducing user privileges, properly configuring SSL, using encryption, securing open ports with firewalls, and ensuring cloud data is only accessed via secure platforms.
Sections:
Introduction
Cloud Computing background
Securing the Cloud
Virtualization
Mobile Cloud Computing
User safety & energy consumption
Author’s proposal
Conclusion
In order to make cloud computing to be adopted by users and enterprises, security concerns of users should be rectified by making cloud environment trustworthy, discussed by Latif et al. in the assessment of cloud computing risks[2].
We address the questions related to:
security concerns and threats over general cloud computing,
(2) the solutions for these problems and
(3) mobile users safety in convergence with energy consumption.
This document discusses security issues related to the abuse and nefarious use of cloud computing. It begins by providing background on cloud computing and outlines some key motivations for security concerns, including that cloud environments present new risks compared to traditional computing due to virtualization and changes in trust boundaries. The document then examines several specific security threats enabled by cloud computing, such as using cloud services to launch DDoS attacks, host malicious data, run password cracking tools, and control botnets. It analyzes issues like easy registration processes, dynamically changing IP addresses, and blacklisting of cloud IP ranges that can allow malicious actors to evade detection. The document aims to understand the taxonomy of cloud security threats and discuss past, current and potential future
OneTK: Key Distribution Center at Cloud Providers towards End to End, Securit...Editor IJMTER
Using End to End Connection in packet Switching networks for providing higher
security in Cloud Computing. In cloud computing a major role is provide security to services that
may be PaaS( Platform as a Service), SaaS( Software as a Service) , CaaS( Communication as a
Service) , IaaS( Infrastructure as a Services) , MaaS ( Monitoring as a Service)n, XaaS( X: Platform,
Software, Monitoring, Infrastructure). Cloud computing provides wide range of services. Large,
Small and medium businesses are depending on out sourcing of data services and computation on
cloud this is mainly deals with SaaS. The cloud provides a very high efficient service for the business
organizations. These business organizations trust cloud service providers on their data security. But
providing security is highly risk in cloud through the third party, especially in private cloud services.
Existing data security methods are not so effective. By using this End to End Connection and Session
Keys and attempts is to be covered secularism in the area of Cloud computing users.
A new approach for securing the data from cloud. OTK – “One Time Key Distribution File” is a
service that protects unauthorized file downloading form the cloud.
This white paper examines the need for strong authentication and explores the return on investment that can be realized in order to help organizations move toward more effective security.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security threats in cloud computing like denial of service attacks, side channel attacks, and man-in-the-middle cryptographic attacks. The document proposes a layered framework for assured cloud computing and techniques for secure publication of data in the cloud, including encryption. It concludes that achieving end-to-end security in cloud computing will be challenging due to complexity, but that more secure operations can be ensured even if some parts of the cloud fail.
This document proposes and evaluates a probabilistic approach for masquerader detection. It first discusses masqueraders and their impact on security. It then outlines a proposed technique using user search profiling and bogus information. Prior research using one-class SVMs for user search profiling is also discussed. The document then evaluates three modules: 1) a naive Bayes classifier, 2) an SVM classifier, and 3) the proposed combined approach. Module 1 achieves a 66.78% detection rate and 17.8% false positive rate. Module 2 achieves 80.1% detection and 21.08% false positive. The proposed approach achieves the best performance at 85.04% detection rate and 5.08% false positive rate.
This document discusses intrusion detection systems (IDS). It covers the development of IDS, the architecture and strategies used in IDS, using genetic algorithms for IDS, and implementing IDS with other popular methods. Specifically, it describes using a genetic algorithm approach to train an IDS to recognize normal connections with low false positives and using a linear classifier with a simple fitness function to classify connections and detect potential attacks. The results showed the genetic algorithm-based system could train and detect intrusions faster while maintaining high detection rates.
626 Information leakage and Data Loss Prevention ToolsSplitty
This document discusses information leakage and data loss prevention (DLP) tools. It begins by defining information leakage as any accidental or malicious access of unauthorized parties to non-public data. Examples of information leakage like data breaches at Sony and the NIH are provided. The document then discusses why executives should care about information leakage due to its high costs, and how DLP tools can help defend against it by managing, discovering, monitoring and protecting sensitive data across networks and devices. Lastly, it provides a checklist and best practices for implementing a successful DLP program.
This document provides an overview of practical cloud security advice. It discusses security risks in cloud computing like unauthorized data exposure and loss of availability. It recommends technical controls like CASB for access monitoring, DLP for data protection, and IRM for persistent data protection. The document also stresses the importance of identity and access management, encryption, and secure configurations.
KSI for IoT Security - Turning Defence Into Offence - Guardtime WhitepaperMartin Ruubel
The document discusses Internet of Things (IoT) security. It defines IoT as physical objects containing technology to communicate and interact with their environment. The economic impact of IoT is estimated to be $6.2 trillion annually by 2025. IoT security faces challenges as it cuts across IT, operational technology, and telecommunications networks. The document proposes an approach using Guardtime's Keyless Signature Infrastructure (KSI) to securely integrate IoT across systems by verifying data integrity and authenticating devices. KSI would address constraints of real-time networks and help mitigate security risks like sensor network attacks.
This document discusses using the Keyless Signature Infrastructure (KSI) to secure Software Defined Networks (SDNs). SDNs centralize network control, which improves agility but also creates new security risks if the centralized control plane is compromised. KSI can help address these risks by cryptographically signing SDN configuration data and network policies. This allows any SDN component to independently verify that it is using untampered data, without requiring trust in the SDN controller. KSI signatures provide real-time detection of any unauthorized data changes. By integrating KSI, SDNs can assure the integrity of critical network control data and detect insider threats or data manipulation attempts.
This document reviews securing cloud data using fog computing. It proposes using user behavior profiling and decoy technology to detect unauthorized access to cloud data. User behavior profiling models normal patterns of how, when and how much a user accesses cloud data. Deviations from this baseline may signal a masquerade attack. Decoy information like fake documents are generated and can be returned to attackers, confusing them into thinking they have accessed real data when they have not. The document discusses these techniques and compares them to related work on using software decoys and addressing security and legal issues in cloud computing.
The document discusses five key security trends affecting security strategy: 1) Targeted attacks have revealed risks beyond just data exposure, requiring protection against these sophisticated attacks. 2) Data center transformation to software-defined services requires different security tailored to virtual/cloud constructs rather than traditional models. 3) Cloud security demands a strategy to keep data secure and compliant both in the cloud and to/from it. 4) Data protection must extend to intellectual property, risk management, and proof of due care. 5) Specialized environments like IoT shift security's role to protecting connected devices and their generated data.
Security and Privacy Issues of Cloud Computing; Solutions and Secure FrameworkIOSR Journals
This document discusses security and privacy issues related to cloud computing. It begins by defining cloud computing and noting its benefits. However, it also acknowledges security concerns, such as lack of control over data, network security issues, and potential insider threats. The document then examines specific security risks like weak client security, insecure APIs, lack of encryption, and not having backups and disaster recovery plans. It proposes some solutions like access controls, encryption, firewalls, regular security audits and penetration testing. Finally, the document presents a secure framework for cloud computing that incorporates many of these solutions to help providers and consumers mitigate risks and enhance security.
A Comparative Review on Data Security Challenges in Cloud ComputingIRJET Journal
This document discusses security challenges in cloud computing. It begins by providing background on cloud computing models including software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), and deployment models. It then discusses various security challenges including those related to deployment models, service models, and networks. Specific issues mentioned include data breaches, data loss, insecure APIs, authentication and identity management. The document also reviews related work on cloud security and provides a comparative analysis of encryption algorithms used for cloud security such as DES, Triple DES, AES, and Blowfish.
Guardtime's Keyless Signature Infrastructure (KSI) technology allows networks to be instrumented in a way that digital assets and components can be tagged, tracked, and authenticated in real-time. KSI signatures are based on mathematical proofs rather than cryptographic secrets, provide evidence of an asset's provenance like time and identity, and are portable across networks. This allows networks using KSI to detect compromises early and build an integrity picture of the network in real-time. In contrast, traditional approaches like PKI rely on secrets that can be compromised and don't work as well at large scale. For example, the Target breach may have been prevented if they used KSI to monitor the integrity of components in their network.
Darktrace enterprise immune system whitepaper_digitalCMR WORLD TECH
- Darktrace takes a fresh approach to cyber defense using advanced machine learning and mathematics rather than traditional perimeter-based security.
- Traditional security models that try to distinguish insiders from outsiders no longer work in today's globally connected networks, as threats are already inside networks and boundaries are impossible to define.
- An "immune system" approach that monitors subtle internal changes and behaviors is needed to detect emerging threats, rather than defining "bad" and trying to keep threats out. This embraces probability and understands what is happening inside complex information systems.
You are attending a workshop on security threats and how to address them, not a training. The presenters introduce themselves and their backgrounds. They discuss how security threats have evolved from viruses in the early internet era to today's more sophisticated targeted attacks. Microsoft's approach to security focuses on technology, processes, and people to manage complexity, protect information, and advance the business with IT solutions. Specific solutions discussed include Windows Firewall, BitLocker, and Network Access Protection.
Seven deadly threats and vulnerabilities in cloudcloudresearcher
This document discusses seven threats and vulnerabilities in cloud computing. It begins by introducing cloud computing and how it has evolved IT solutions by moving computing resources and data to large data centers. While this provides benefits, it also introduces security risks if threats and vulnerabilities are not addressed. The top seven issues identified are: abuse and nefarious use of cloud services, insecure interfaces and APIs, malicious insiders, virtual machine escape vulnerabilities, risk of data loss or leakage, account or service hijacking, and unknown risk profiles for organizations. Addressing these issues is important for organizations to trust cloud computing with their critical data and applications.
ThreatMetrix Profile in March 2014 CIO ReviewThreatMetrix
ThreatMetrix provides context-based authentication and a global federated trust network to help secure remote workforce access for enterprises. It analyzes login contexts and compares them to data from a global network of over 2,500 customers to identify high-risk connections. This allows businesses to streamline access for trusted users while detecting anomalies and reducing security risks, without overburdening legitimate users. The federated trust network grows more powerful as more customers contribute anonymous identity and transaction data.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
MD. Hasibur Rashid is a Computer Science and Engineering student at Patuakhali Science and Technology University in Bangladesh. The document discusses several types of cybersecurity attacks including denial of service attacks, man-in-the-middle attacks, network sniffing, port scanning, SQL injection, cross-site scripting, data breaches at cloud computing providers, accidental data loss by providers, and hijacking of user accounts. Countermeasures for these attacks include reducing user privileges, properly configuring SSL, using encryption, securing open ports with firewalls, and ensuring cloud data is only accessed via secure platforms.
Sections:
Introduction
Cloud Computing background
Securing the Cloud
Virtualization
Mobile Cloud Computing
User safety & energy consumption
Author’s proposal
Conclusion
In order to make cloud computing to be adopted by users and enterprises, security concerns of users should be rectified by making cloud environment trustworthy, discussed by Latif et al. in the assessment of cloud computing risks[2].
We address the questions related to:
security concerns and threats over general cloud computing,
(2) the solutions for these problems and
(3) mobile users safety in convergence with energy consumption.
This document discusses security issues related to the abuse and nefarious use of cloud computing. It begins by providing background on cloud computing and outlines some key motivations for security concerns, including that cloud environments present new risks compared to traditional computing due to virtualization and changes in trust boundaries. The document then examines several specific security threats enabled by cloud computing, such as using cloud services to launch DDoS attacks, host malicious data, run password cracking tools, and control botnets. It analyzes issues like easy registration processes, dynamically changing IP addresses, and blacklisting of cloud IP ranges that can allow malicious actors to evade detection. The document aims to understand the taxonomy of cloud security threats and discuss past, current and potential future
OneTK: Key Distribution Center at Cloud Providers towards End to End, Securit...Editor IJMTER
Using End to End Connection in packet Switching networks for providing higher
security in Cloud Computing. In cloud computing a major role is provide security to services that
may be PaaS( Platform as a Service), SaaS( Software as a Service) , CaaS( Communication as a
Service) , IaaS( Infrastructure as a Services) , MaaS ( Monitoring as a Service)n, XaaS( X: Platform,
Software, Monitoring, Infrastructure). Cloud computing provides wide range of services. Large,
Small and medium businesses are depending on out sourcing of data services and computation on
cloud this is mainly deals with SaaS. The cloud provides a very high efficient service for the business
organizations. These business organizations trust cloud service providers on their data security. But
providing security is highly risk in cloud through the third party, especially in private cloud services.
Existing data security methods are not so effective. By using this End to End Connection and Session
Keys and attempts is to be covered secularism in the area of Cloud computing users.
A new approach for securing the data from cloud. OTK – “One Time Key Distribution File” is a
service that protects unauthorized file downloading form the cloud.
This white paper examines the need for strong authentication and explores the return on investment that can be realized in order to help organizations move toward more effective security.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security threats in cloud computing like denial of service attacks, side channel attacks, and man-in-the-middle cryptographic attacks. The document proposes a layered framework for assured cloud computing and techniques for secure publication of data in the cloud, including encryption. It concludes that achieving end-to-end security in cloud computing will be challenging due to complexity, but that more secure operations can be ensured even if some parts of the cloud fail.
This document proposes and evaluates a probabilistic approach for masquerader detection. It first discusses masqueraders and their impact on security. It then outlines a proposed technique using user search profiling and bogus information. Prior research using one-class SVMs for user search profiling is also discussed. The document then evaluates three modules: 1) a naive Bayes classifier, 2) an SVM classifier, and 3) the proposed combined approach. Module 1 achieves a 66.78% detection rate and 17.8% false positive rate. Module 2 achieves 80.1% detection and 21.08% false positive. The proposed approach achieves the best performance at 85.04% detection rate and 5.08% false positive rate.
This document discusses intrusion detection systems (IDS). It covers the development of IDS, the architecture and strategies used in IDS, using genetic algorithms for IDS, and implementing IDS with other popular methods. Specifically, it describes using a genetic algorithm approach to train an IDS to recognize normal connections with low false positives and using a linear classifier with a simple fitness function to classify connections and detect potential attacks. The results showed the genetic algorithm-based system could train and detect intrusions faster while maintaining high detection rates.
626 Information leakage and Data Loss Prevention ToolsSplitty
This document discusses information leakage and data loss prevention (DLP) tools. It begins by defining information leakage as any accidental or malicious access of unauthorized parties to non-public data. Examples of information leakage like data breaches at Sony and the NIH are provided. The document then discusses why executives should care about information leakage due to its high costs, and how DLP tools can help defend against it by managing, discovering, monitoring and protecting sensitive data across networks and devices. Lastly, it provides a checklist and best practices for implementing a successful DLP program.
Automated Detection of Session Fixation VulnerabilitiesYuji Kosuga
Session fixation is a technique for obtaining the visitor's session identifier (SID) by forcing the visitor to use the SID supplied by the attacker. The attacker who obtains the victim's SID can masquerade as the visitor. In this paper, we propose a technique to automatically detect session fixation vulnerabilities in web applications. Our technique uses attack simulator that executes a real session fixation attack and check whether it is successful or not. In the experiment, our system successfully detected vulnerabilities in our original test cases and in a real world web application.
This document discusses network security and intrusion detection systems. It defines an intrusion as an unauthorized attempt to access or manipulate a system. Intrusion detection systems monitor systems for intrusions and can detect intrusions through anomaly detection, signature-based detection, or hybrid detection. Intrusion detection systems are either host-based, monitoring individual systems, or network-based, monitoring entire networks. They aim to detect intrusions and trigger an appropriate response through incident response teams and evidence collection.
Dr.r.k.dhuria hydroponics aks, new delhiAyurvetAks
This document discusses the benefits of hydroponics technology for growing fodder. It notes that hydroponics allows for fodder cultivation without soil by supplying nutrients to plants through water. Key advantages highlighted include water savings, ability to produce fodder on marginal land, consistent year-round supply, reduced growth time, lower labor needs, enhanced nutritional value of fodder, safety for animal consumption, and potential improvements to animal health and land availability for other food crops.
A quick overview of the possible business models of the cloud computing companies. Done for Tampere University of Technology seminar course about cloud computing ( http://www.cs.tut.fi/~tsysta/Pilvilaskenta.html ).
This document identifies and categorizes various vulnerabilities and threats in cloud computing. It discusses 8 categories of threats: abuse of resources, insecure interfaces, technology sharing issues, data leakages, service hijacking, malicious insiders, data separation, and unknown risks. For each threat, it provides details on how attackers can exploit vulnerabilities as well as recommendations for cloud service providers to mitigate risks, such as implementing strong access controls, encryption, monitoring, and auditing. The conclusion states that while cloud computing is widely adopted, organizations must still be aware of security issues and work to address them.
Identified Vulnerabilitis And Threats In Cloud ComputingIOSR Journals
This document identifies and categorizes various vulnerabilities and threats in cloud computing. It discusses 8 categories of threats: abuse of resources, insecure interfaces, technology sharing issues, data leakages, service hijacking, malicious insiders, data separation, and unknown risks. For each threat, it provides details on how attackers can exploit vulnerabilities as well as recommendations for cloud service providers to mitigate risks, such as implementing strong access controls, encryption, monitoring, and auditing. The conclusion states that while cloud computing is widely adopted, organizations must still be aware of security issues and work to address them.
9 Things You Need to Know Before Moving to the Cloudkairostech
Cloud computing has emerged and paved its way forward at an unprecedented pace. It has managed to simultaneously transform business and government giving rise to new security challenges. The emergence of the cloud service model provides business supporting technology with an increased efficiency than ever before. The paradigm shift from server to service has revolutionized the way IT departments think, design, and provide computing solutions and applications. Yet, these revolutions have given birth to new security challenges – the full impact of which is yet to be determined.
This document proposes a novel framework for dependable cloud computing. It discusses security risks associated with cloud computing including vulnerabilities, accessibility issues, authentication, data tampering and privacy concerns. The framework aims to address these issues by involving all stakeholders to securely store and transfer encrypted data between private clouds and cloud service providers. An encryption system was designed using Java programming to encrypt and decrypt data in transit to test the dependability of stored and transferred data from the cloud. The goal is to improve security techniques and build trust in cloud computing by preventing and detecting security flaws.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security attacks to clouds like denial of service attacks and man-in-the-middle attacks. Security concerns with moving data and applications to the cloud are outlined. Techniques for securely publishing data in the cloud are also presented. The document concludes that security in cloud computing is challenging due to the complexity of clouds but that assurance of secure and mission-critical operations is important.
DESIGN AND IMPLEMENT A NEW CLOUD SECURITY METHOD BASED ON MULTI CLOUDS ON OPE...cscpconf
Deployment of using cloud services as a new approach to keep people's platforms, Infrastructure and applications has become an important issue in the world of communications technology. This is a very useful paradigm for humans to obtain their essential needs simpler, faster ,more flexible, and safer than before. But there are many concerns about this system challenge. Security is the most important challenge for cloud systems. In this paper we design and explain the procedure of implementation of a new method for cloud services based on multi clouds on our platform which supplies security and privacy more than other clouds. We introduce some confidentiality and security methods in each layer to have a secure access to requirements. The architecture of our method and the implementation of method on our selected platform for each layer are introduced in this paper.
Design and implement a new cloud security method based on multi clouds on ope...csandit
Deployment of using cloud services as a new approach to keep people's platforms,
Infrastructure and applications has become an important issue in the world of communications
technology. This is a very useful paradigm for humans to obtain their essential needs simpler,
faster ,more flexible, and safer than before. But there are many concerns about this system
challenge. Security is the most important challenge for cloud systems. In this paper we design
and explain the procedure of implementation of a new method for cloud services based on multi
clouds on our platform which supplies security and privacy more than other clouds. We
introduce some confidentiality and security methods in each layer to have a secure access to
requirements. The architecture of our method and the implementation of method on our selected
platform for each layer are introduced in this paper.
Security and Privacy Solutions in Cloud Computing at Openstack to Sustain Use...Zac Darcy
Cloud computing is an emerging model of service provision that has the advantage of minimizing costs
through sharing and storage of resources combined with a demand provisioning mechanism relying on
pay-per-use business model. Cloud computing features direct impact on information technology (IT)
budgeting but pose detrimental impacts on privacy and security mechanisms especially where sensitive
data is to be held offshore by third parties. Even though cloud computing environment promises new
benefits to organizations, it also presents its fair share of potential risks. It is considered as a double edge
sword considering the privacy and security standpoints. However, despite its potential to offer a low cost
security, customer organizations may increase the risks by storing their sensitive information in the cloud.
Therefore, this study focuses on privacy and security issues that pose a challenge in maintaining a level of
assurance that is sufficient enough to sustain confidence in potential users.
In this study, survey questions were sent to different non-profit and government organizations, which
assisted in collecting fundamental information. The data was acquired by conducting surveys in OpenStack
Company to identify the critical vulnerabilities in the cloud computing platform in order to provide the
recommended solutions.
So, analysis will be made on how the cloud’s characteristics such as the nature of the architecture,
attractiveness, as well as, vulnerability are tightly related to privacy and security issues. Privacy and
security are complex issues for which there is no standard and the relationship between them is necessarily
complicated. The study also highlight on the inherent challenge to data privacy because it typically results
in data to be presented in an encryption from the data owner. Thus, the study aimed at obtaining a common
goal to provide a comprehensive review of the existing security and privacy issues in cloud environments,
and identify and describe the most representative of the security and privacy attributes and present a
relationship among them.
Finally, in order to ensure that the standard measure of validity is achieved, validity test was conducted in
order to ensure that the study is free from errors. Various recommendations were provided. The study also
explored various areas that require future directions for each attribute, which comprise of multi-domain
policy integration and a secure service composition to design a comprehensive policy-based management
framework in the cloud environments.
Lastly, the recommendations will provide the potential for security and privacy approaches that can be
implemented to improve the cloud computing environment to ensure that a level of trust is achieved
SECURITY AND PRIVACY SOLUTIONS IN CLOUD COMPUTING AT OPENSTACK TO SUSTAIN USE...Zac Darcy
Cloud computing is an emerging model of service provision that has the advantage of minimizing costs
through sharing and storage of resources combined with a demand provisioning mechanism relying on
pay-per-use business model. Cloud computing features direct impact on information technology (IT)
budgeting but pose detrimental impacts on privacy and security mechanisms especially where sensitive
data is to be held offshore by third parties. Even though cloud computing environment promises new
benefits to organizations, it also presents its fair share of potential risks. It is considered as a double edge
sword considering the privacy and security standpoints. However, despite its potential to offer a low cost
security, customer organizations may increase the risks by storing their sensitive information in the cloud.
Therefore, this study focuses on privacy and security issues that pose a challenge in maintaining a level of
assurance that is sufficient enough to sustain confidence in potential users.
Cloud Security - Types, Common Threats & Tips To Mitigate.pdfDataSpace Academy
With businesses increasingly relying on the cloud, hackers are fast targeting cloud computing networks. There is an urgent need for robust cloud security measures to keep your network and data safe from prying eyes. The blog begins with a discussion on the significance of cloud security and types of cloud security. It also talks about the common threats faced by a cloud network. The blog further wraps up with a detailed list of the best security practices to follow to ensure a powerful security infrastructure for cloud networks.
Seven Deadly Threats and Vulnerabilities in Cloud ComputingMervat Bamiah
Cloud computing has been developed to reduce IT
expenses and to provide agile IT services to individual users as
well as organizations. It moves computing and data away from
desktop and portable PCs into large data centers. This
technology gives the opportunity for more innovation in
lightweight smart devices and it forms an innovative method of
performing business. Cloud computing depends on the internet
as a medium for users to access the required services at any time
on pay-per-use pattern. However this technology is still in its
initial stages of development, as it suffers from threats and
vulnerabilities that prevent the users from trusting it. Various
malicious activities from illegal users have threatened this
technology such as data misuse, inflexible access control and
limited monitoring. The occurrence of these threats may result
into damaging or illegal access of critical and confidential data of
users. This research paper describes the characteristics (threats,
vulnerabilities) associated with a stormy cloud.
Tony Godfrey presented on cloud computing. He defined cloud computing as networked hardware, software, and infrastructure services provided over the internet. Cloud computing provides on-demand services that are always available from anywhere using a utility-based pay-for-use model. Challenges of cloud computing include security, loss of control over data, and lack of standardization. Forensics in the cloud is complicated by issues around jurisdiction, data access, and coordination between cloud service providers and customers. ownCloud was demonstrated as an example of setting up a private cloud storage system. TestDisk software can potentially help recover deleted files from the ownCloud data directory.
This document discusses the challenges of intellectual property (IP) protection with cloud computing. It provides background on cloud computing and how it is transforming computing. Some key challenges discussed include determining copyright infringement when software is downloaded from the cloud rather than purchased, issues around trade secrets and confidential data when information is stored in the cloud, and security issues regarding virtual machines and IP spoofing. The document also reviews literature on these topics and discusses India's laws around data privacy and their limitations in fully addressing privacy in cloud computing.
Challenges and Mechanisms for Securing Data in Mobile Cloud Computingijcnes
Cloud computing enables users to utilize the services of computing resources. Now days computing resources in mobile applications are being delivered with cloud computing. As there is a growing need for new mobile applications, usage of cloud computing can not be overlooked. Cloud service providers offers the services for the data request in a remote server. Virtualization aspect of cloud computing in mobile applications felicitates better utilization of resources. The industry needs to address the foremost security risk in the underlying technology. The cloud computing environment in mobile applications aggravated with various security problems. This paper addresses challenges in securing data in cloud for mobile Cloud computing and few mechanisms to overcome.
In 3 sentences:
The document discusses information systems for supply chain management and identifies uncertainties, risks, and cybersecurity as key issues. It proposes a new approach for identifying and predicting supply risk under uncertain conditions and a complex solution for securing data in supply chain information systems. Several strategies are discussed for managing risks from new technologies like cloud computing, IoT devices, and DevOps services that are increasingly used in supply chain systems.
Cloud Application Security Best Practices To follow.pdfTechugo
Around 75% of modern workloads are now in the cloud. Millions of workers use cloud computing daily to communicate, code, and manage customer relations. Cloud computing is cost-effective, flexible, and convenient. However, cloud computing can pose security risks.
Cloud Application Security Best Practices To follow.pdfTechugo
Cloud application security is the practice of protecting cloud-based applications and data from unauthorized access, theft, or loss. It involves implementing various security measures such as encryption, access controls, firewalls, and monitoring to ensure that cloud applications are secure from threats.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Internal & External Attacks in cloud computing Environment from confidentiali...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document discusses security threats in cloud computing environments from the perspectives of confidentiality, integrity, and availability. It identifies internal and external attacks that can threaten cloud systems. Internally, malicious insiders like users, providers, or third parties can access data. Externally, remote software or hardware attacks are possible from external attackers. Specific threats are organized by their impact on confidentiality like data leakage; integrity like incorrect resource segregation; and availability like denial of service attacks. The document concludes that security efforts should focus on both prevention of threats and detection of security issues.
Similar to MIST Effective Masquerade Attack Detection in the Cloud (20)
Ijeee 33-36-surveillance system for coal mines based on wireless sensor networkKumar Goud
Abstract: The foremost critical task for coal mine is of keeping track of miners spread out across a large mining areas .It becomes even difficult when mine tunnels collapse. Many mines use a radio system to track miners, but when a collapse occurs, the base stations connected by a thin wire often are rendered useless. In this project to overcome the demerits of radio system we used wireless technology for tracking the miners. For this purpose a small RF transmitter module is equipped to each person entering a mine. Each transceiver placed in the mine look after the location of miners. The transceivers communicate with base stations through Zigbee module. In addition of tracking the location of miners we also include sensors such as temperature & humidity to intimate the base station & miners when some atmosphere changes occur. Mine operators are now able to monitor the real-time locations of each miner to better pinpoint their locations in the event of an emergency. Even after a full-day of use, mine operators can locate an individual miner within ten feet.
Key Words: Wireless sensor networks (WSN), ZIGBEE, and LPC2148.
Ijeee 28-32-accurate fault location estimation in transmission linesKumar Goud
Accurate Fault Location Estimation in Transmission Lines
B. Narsimha Reddy Dr. P. Chandra Sekar
Sr. Assistant Professor, Dept. of EEE Associate Professor, Dept. of EEE
Mahatma Gandhi Institute of Technology Mahatma Gandhi Institute of Technology
Hyderabad, TS, India Hyderabad, TS, India
babubnr@gmail.com Pcs_76@rediffmail.com
Abstract: In trendy power transmission systems, the double-circuit line structure is increasingly adopted. However, owing to the mutual coupling between the parallel lines it is quite difficult to style correct fault location algorithms. Moreover, the widely used series compensator and its protecting device introduce harmonics and non-linearity’s to the transmission lines, that create fault location a lot of difficult. To tackle these issues, this thesis is committed to developing advanced fault location strategies for double-circuit and series-compensated transmission lines. Algorithms utilizing thin measurements for pinpointing the situation of short-circuit faults on double-circuit lines square measure planned. By moldering the initial net-work into 3 sequence networks, the bus ohmic resistance matrix for every network with the addition of the citations fault bus may be developed. It’s a perform of the unknown fault location. With the increased bus ohmic resistance matrices the sequence voltage amendment throughout the fault at any bus may be expressed in terms of the corresponding sequence fault current and also the transfer ohmic resistance between the fault bus and the measured bus. Resorting to tape machine the superimposed sequence current at any branch may be expressed with relevancy the pertaining sequence fault current and transfer ohmic resistance terms. Obeying boundary conditions of different fault sorts, four different categories of fault location algorithms utilizing either voltage phasors, or phase voltage magnitudes, or current phasors or section current magnitudes square measure derived. The distinguishing characteristic of the planned methodology is that the information measurements need not stem from the faulted section itself. Quite satisfactory results are obtained victimisation EMTP simulation studies. A fault location rule for series-compensated transmission lines that employs two-terminal asynchronous voltage and current measurements has been implemented. For the distinct cases that the fault happens either on the left or on the right aspect of the series compensator, 2 subroutines square measure developed. In addition, the procedure to spot the proper fault location estimate is represented during this work. Simulation studies disbursed with Matlab Sim Power Systems show that the fault location results square measure terribly correct.
Keywords: Ohmic Resistance, Transmission Lines, PMU, DFR, VCR, EMTP, MOV.
Ijeee 24-27-energy efficient communication for adhoc networksKumar Goud
Energy Efficient Communication for Adhoc Networks
1SK.Nagula Meera 2Dr. D.Srinivasa Kumar 3Dr. D.Srinivasa Rao
Research Scholar Professor & Principal Professor, ECE department
ECE department, JNTU Hyderabad Hosur Institute of Technology and Science
Errandapalli Village, Beerpalli PO JNTU College of Engineering Hyderabad(Autonomous)
Ramapuram (via), Krishnagri Dt., Tamilnadu
Abstract: A mobile accidental network (MANET) may be an assortment of nodes equipped with wireless communications and a networking capability while not central network management. The method of wireless networks within the applications like transferring video files is subjected to twin constraints. Each step-down of power and different QOS needs like delay, throughputs square measure need to be bewaring properly. Mobile accidental Networks square measure a lot of perceptive to those problems wherever every mobile device is active sort of a router and consequently, routing delay adds significantly to overall end-to-end delay. This paper presents a survey on power economical routing protocols for Mobile Ad-Hoc Networks. This survey focused on recent progress on power saving algorithms. Additionally we recommend one power aware technique which can cut back power consumption yet as increase the lifespan of node and network.
Keywords: Mobile, Ad-Hoc networks, QOS, MANET, IBSS, ATIM, DPSM.
Ijeee 20-23-target parameter estimation for pulsed doppler radar applicationsKumar Goud
Target Parameter Estimation for Pulsed Doppler Radar Applications
Pratibha Jha1 S.Swetha2 D.Kavitha3
M.Tech Scholar (ECE), Dept of ECE Senior Assistant Professor & Associate Professor, Dept of ECE
Aurora’s Scientific Technological &
Research Academy Aurora’s Scientific Technological &
Research Academy, JNTUH Aurora’s Scientific Technological &
Research Academy, JNTUH
Bandlaguda, Hyderabad, TS, India Bandlaguda, Hyderabad, TS, India Bandlaguda, Hyderabad, TS, India
pratibhajha1001@yahoo.co.in swetha.sirisin@gmail.com kavitadevireddy@gmail.com
Abstract- Conventional monostatic single-input single-output (SISO) radar transmits an electro-magnetic (EM) wave from the transmitter. The properties of this wave are altered while reflecting from the surfaces of the targets towards the receiver. The altered properties of the wave enable estimation of unknown target parameters like range, Doppler, and attenuation. However, such systems offer limited degrees of freedom. Multiple-input and multiple-output (MIMO) radar systems use arrays of transmitting and receiving antennas like phased array radars but while a phased array transmits highly correlated signals which form a beam, MIMO antennas transmit signals from a diverse set and independence between the signals is exploited
Keywords: radar, OTA, MIMO, FHSS, DSSS, MISO
Ijeee 16-19-digital media hidden data extractingKumar Goud
Abstract— Magnetic Resonance Imaging (MRI) brain tumor image classification is a difficult task due to the variance and complexity of tumors. This paper presents an efficient techniques for the classification of the magnetic resonance brain images. In this work we are taking MR images as input; MRI which is directed into internal cavity of brain and gives the complete image of the brain. The proposed technique consists of two stages.In the first stage, discrete wavelet transform is used for dimensionality reduction and feature extraction.In the second stage, classification is performed using the probabilistic neural network. The classifier have been used to classify real MR images as benign (non-cancerous) and Malignant (cancerous). Probabilistic neural network (PNN) with image and data processing technique is employed to implement an automated brain tumor classification. The use of artificial intelligent technique has shown great potential in this field.
Index Terms— Brain tumors, Feature extraction,Classification, MRI, Probabilistic neural network, Dimensionality reduction, Discrete wavelet transform.
Ijeee 16-19-a novel approach to brain tumor classification using wavelet and ...Kumar Goud
This document presents a novel approach for classifying brain tumors using magnetic resonance images (MRIs). The proposed technique uses two stages: 1) discrete wavelet transform for dimensionality reduction and feature extraction, and 2) probabilistic neural network (PNN) for classification. MRIs of benign and malignant brain tumors were collected and preprocessed using discrete wavelet transform to extract features. A PNN classifier was then trained on these features to classify tumors as benign or malignant. The technique aims to provide an automated brain tumor classification method using artificial intelligence.
Ijeee 7-11-privacy preserving distributed data mining with anonymous id assig...Kumar Goud
Privacy Preserving Distributed Data Mining with Anonymous ID Assignment
Chikkudu Chandrakanth Bheemari Santhoshkumar Tejavath Charan Singh
M.Tech Scholar(CSE) M.Tech Scholar(CSE) Assistant Professor, Dept of CSE
Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech
Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India
Abstract: This paper builds an algorithm for sharing simple integer data on top of secure sum data mining operation using Newton’s identities and Sturm’s theorem. Algorithm for anonymous sharing of private data among parties is developed. This assignment is anonymous in that the identities received are unknown to the other members of the group. Resistance to collusion among other members is verified in an information theoretic sense when private communication channels are used. This assignment of serial numbers allows more complex data to be shared and has applications to other problems in privacy preserving data mining, collision avoidance in communications and distributed database access. The new algorithms are built on top of a secure sum data mining operation using Newton’s identities and Sturm’s theorem. An algorithm for distributed solution of certain polynomials over finite fields enhances the scalability of the algorithms.
Key words: Cloud, Website, information sharing, DBMS, ID, ODBC, ASP.NET
.
Ijeee 3-6-implementation of environment monitoring system using arm microcont...Kumar Goud
This document describes the design and implementation of a wireless sensor network for monitoring agricultural environments. Sensors are deployed to measure factors like temperature, humidity, and soil pH levels. The sensors transmit data wirelessly via Zigbee modules to a central server. The server collects, stores, and analyzes the sensor data and allows it to be displayed. This network allows remote monitoring of crop fields and helps farmers irrigate only where needed, conserving water and fertilizer usage based on real-time sensor readings. An ARM microcontroller is used to control the system based on signals from the different sensors.
Ijeee 1-2-a tracking system using location prediction and dynamic threshold f...Kumar Goud
This document summarizes a research paper on the limitations of emergency alert systems that use SMS text messaging. It finds that such systems cannot meet the 10 minute delivery requirement for emergency alerts mandated by law. Congestion from high volumes of emergency texts could block over 80% of regular voice and SMS traffic. The document proposes using targeted text messaging that leverages existing infrastructure to more efficiently deliver emergency alerts. It concludes that policymakers, technologists, and the public need to understand the fundamental limitations of SMS-based emergency alert systems.
layout impact of resolution enhancement in design for manufacturing dfm- in ...Kumar Goud
Abstract: As VLSI technology scales to 65nm and below, ancient communication between style and producing becomes a lot of and lighter. Gone square measure the times once designers merely pass the look GDSII file to the mill and expect excellent manufacturing and constant quantity yield. this is often for the most part thanks to the big challenges within the producing stage because the feature size continues to shrink. Thus, the concept of DFM (Design for Manufacturing) is obtaining highly regarded. even if there's no universally accepted definition of DFM, in my opinion, one in every of} the main elements of DFM is to bring producing info into the look stage in a means that's understood by designers. Consequently, designers will act on the knowledge to boost each producing and constant quantity yield. During this treatise, I’ll gift many makes an attempt to cut back the gap between style and producing communities: Alt-PSM aware galvanic cell styles, printability improvement for careful routing and therefore the ASIC style flow with litho aware static temporal arrangement analysis. Experiment results show that greatly improve the manufacturability of the styles and that we can cut back style pessimism considerably for easier style closure.
Keywords: Layout, Cell, PSM, OAI, RSM, RET, SRAF, Optimization
a new power gating technique for mitigation of standby leakage power using vt...Kumar Goud
Abstract—A power-gating scheme was presented to support multiple power-off modes and reduce the leakage power during short periods of inactivity. However, this scheme can suffer from high sensitivity to process variations, which impedes manufacturability. Recently, a new power-gating technique that is tolerant to process variations and scalable to more than two intermediate power-off modes. However this scheme can suffer from Increase in the lower threshold voltage, devices leads increased sub threshold leakage and hence more standby power consumption. We propose boy biasing technique used to reduce the power. The proposed design requires less design effort and offers greater power reduction and smaller area cost than the previous method. In addition, it can be combined with existing techniques to offer further static power reduction benefits. Analysis and extensive simulation results demonstrate the effectiveness of the proposed design.
Index Terms—Leakage power, Multi-mode VTcmos switches, Power Consumption reduction, process variation, Reconfigurable power-gating structure.
hardware implementation of aes encryption and decryption for low area & low p...Kumar Goud
Abstract-An AES algorithm is implemented on FPGA platform to improve the safety of data in transmission. AES algorithms can be implemented on FPGA in order to speed data processing and reduce time for key generating. We achieve higher performance by maintaining standard speed and reliability with low area and power. The 128 bit AES algorithm is implements on a FPGA using VHDL language with help of Xilinx tool.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
transient stability improvement in power system in multi machine system with ...Kumar Goud
Abstract— This paper is highlighting review of improvement the transient stability of the power system with the utilization of robust Distributed Static Series Compensator (DSSC) in transmission line power flow control. DSSC has operated similarly as a Static Synchronous Series Compensator (SSSC) but is in smaller in size and lesser cost along with various other factors. Simulation results support the DSSC capability for improving transient stability boundary of the power system.
The theory of DSSC is on the support of using a small power single-phase inverter, which connected to the transmission conductor and vigorously controls the consequent transfer impedance. Through this, the dynamic control of power flow in the line is attained. Therefore, the lowest degree of available and describe technical projects for DSSC conform further more studies on the other factors of this apparatus. This study serves a research where 1400 DSSCs are incorporate in a two-area, two-machine system in order to study the transient stability of the system. By the intend of improving the transient stability, a complementary controller have been considered and properly shared to the main control loop of DSSCs. Simulation results demonstrate the resourceful influence of DSSCs in the transient stability expansion.
Index Terms— Distributed Flexible AC Transmission System (D-FACTS), Voltage Source Inverters (VSI), Pulse Width Modulation (PWM), Distributed Static Series Compensator (DSSC), Transient Stability Enhancement.
go green - green marketing its rise for an eco friendly processes in indiaKumar Goud
Abstract: Green marketing is a phenomenon which has developed particular important in the contemporary market. This concept has enabled for the re-marketing and packaging of accessible products which already adhere to such guidelines. Moreover, the development of green marketing has opened the door of opportunity for companies to co-brand their products into separate line, lauding the green-friendliness of some while ignoring that of others. Such marketing techniques will be explained as a direct result of movement in the minds of the consumer market. As a result of this businesses have increased their rate of targeting consumers who are concerned about the environment. These same consumers through their concern are interested in integrating environmental issues into their purchasing decisions through their incorporation into the process and content of the marketing strategy for whatever product may be required. This paper discusses how businesses have increased their rate of targeting green consumers, those who are concerned about the environment and allow it to affect their purchasing decisions. The paper identifies the three particular segments of green consumers and explores the challenges and opportunities businesses have with green marketing. The paper also examines the present trends of green marketing in India and describes the reason why companies are adopting it and future of green marketing and concludes that green marketing is something that will continuously grow in both practice and demand.
Keywords - Green Marketing, Green Product, Recyclable, Environmentally safe, Eco Friendly.
This document summarizes a research paper on hand vein authentication systems. It discusses how hand vein patterns are unique biometric identifiers that can be used for authentication. The system works by capturing an image of the veins in the back of the hand, extracting the vein pattern features, and matching the features to authenticate a user. Key advantages of this approach are that vein patterns are difficult to replicate, located inside the hand, and stable over time. The document provides details on the image processing and authentication methodology.
enhancement of low power pulse triggered flip-flop design based on signal fee...Kumar Goud
Abstract: Low Power research major concern in today’s VLSI word. Practically, clocking system like flip-flop (FF) consumes large portion of total chip power. So in this paper we discuss about the design of the clock system using novel Flip-Flop design. In this paper, a novel low-power pulse-triggered flip-flop (FF) design is presented. Pulse- triggered FF (P-FF) has been considered as a popular alternative to the conventional master –slave based F. a low-power flip-flop (FF) design featuring an explicit type pulse-triggered structure and a modified true single phase clock latch based on a signal feed-through scheme is presented. The proposed design successfully solves the long discharging path problem in conventional explicit type pulse-triggered FF (P-FF) designs and achieves better speed and power performance in the applications of high speed. These circuits are simulated using Tanner Tools with TSMC018 technology.
Keywords: pulse-triggered flip-flop (FF), true single phase clock latch, clocking system
implementation of area efficient high speed eddr architectureKumar Goud
Abstract-This project presents an EDDR design, based on the residue-and-quotient (RQ) code, to embed into motion estimation (ME) for video coding testing applications. An error in processing elements (PEs), i.e. key components of a ME, can be detected and recovered effectively by using the EDDR design. The proposed EDDR design for ME testing can detect errors and recover data with an acceptable area overhead and timing penalty. The functional verification and synthesis can be done by Xilinx ISE. That is when compare to the existing design the implemented design area and timing will be reduced.
Index Terms—Area overhead, data recovery, error detection, reliability, residue-and-quotient (RQ) code, Xilinx ISE
professional fuzzy type-ahead rummage around in xml type-ahead search techni...Kumar Goud
Abstract – It is a research venture on the new information-access standard called type-ahead search, in which systems discover responds to a keyword query on-the-fly as users type in the uncertainty. In this paper we learn how to support fuzzy type-ahead search in XML. Underneath fuzzy search is important when users have limited knowledge about the exact representation of the entities they are looking for, such as people records in an online directory. We have developed and deployed several such systems, some of which have been used by many people on a daily basis. The systems received overwhelmingly positive feedbacks from users due to their friendly interfaces with the fuzzy-search feature. We describe the design and implementation of the systems, and demonstrate several such systems. We show that our efficient techniques can indeed allow this search paradigm to scale on large amounts of data.
Index Terms - type-ahead, large data set, server side, online directory, search technique.
Ijeee 58-61-assessment of raw milk quality by neural networking n-n- model i...Kumar Goud
This document describes a study that assessed the quality of raw milk from dairy farms in Macedonia using a neural network modeling approach. Researchers collected raw milk samples from two farms (Farm X and Farm Y) over three years and analyzed the samples for properties like fat, protein, pH, solids content, and temperature. They then used these measured properties as inputs to train a neural network model to predict corresponding quality factors. The model showed good agreement with results from analyzing the raw milk samples directly. The study aimed to develop a method for rapidly evaluating raw milk quality at the farm level using routine analysis data and neural network modeling.
Sachpazis_Consolidation Settlement Calculation Program-The Python Code and th...Dr.Costas Sachpazis
Consolidation Settlement Calculation Program-The Python Code
By Professor Dr. Costas Sachpazis, Civil Engineer & Geologist
This program calculates the consolidation settlement for a foundation based on soil layer properties and foundation data. It allows users to input multiple soil layers and foundation characteristics to determine the total settlement.
An In-Depth Exploration of Natural Language Processing: Evolution, Applicatio...DharmaBanothu
Natural language processing (NLP) has
recently garnered significant interest for the
computational representation and analysis of human
language. Its applications span multiple domains such
as machine translation, email spam detection,
information extraction, summarization, healthcare,
and question answering. This paper first delineates
four phases by examining various levels of NLP and
components of Natural Language Generation,
followed by a review of the history and progression of
NLP. Subsequently, we delve into the current state of
the art by presenting diverse NLP applications,
contemporary trends, and challenges. Finally, we
discuss some available datasets, models, and
evaluation metrics in NLP.
MIST Effective Masquerade Attack Detection in the Cloud
1. International Journal of Ethics in Engineering & Management Education
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014)
MIST Effective Masquerade Attack Detection in
the Cloud
Tallapaneni Madhavi
M.Tech Scholar (CSE)
Dept. of CSE
Prakasam Engineering College
AP, India
43
Abstract: Cloud computing promises to significantly change the
way we use computers and access and store our personal and
business information. With these new computing and
communications paradigms arise new data security challenges.
Existing data protection mechanisms such as encryption have
failed in preventing data theft attacks, especially those
perpetrated by an insider to the cloud provider. We propose a
different approach for securing data in the cloud using offensive
decoy technology. We monitor data access in the cloud and detect
abnormal data access patterns. When unauthorized access is
suspected and then verified using challenge questions, we launch
a disinformation attack by returning large amounts of decoy
information to the attacker. This protects against the misuse of
the user’s real data. Experiments conducted in a local file setting
provide evidence that this approach may provide unprecedented
levels of user data security in a Cloud environment.
Keywords: Mist, Insider data stealing, Bait information, Lure
Files, Validating user
I. INTRODUCTION
In this paper, we address a novel approach to securing
personal and business data in the Cloud. We propose
monitoring data access patterns by profiling user behavior to
determine if and when a malicious insider illegitimately
accesses someone’s documents in a Cloud service. Decoy
documents stored in the Cloud alongside the user’s real data
also serve as sensors to detect illegitimate access. Once
unauthorized data access or exposure is suspected, and later
verified, with challenge questions for instance, we inundate
the malicious insider with bogus information in order to dilute
the user’s real data. Such preventive attacks that rely on
disinformation technology could provide unprecedented levels
of security in the Cloud and in social networks. If a valid
user’s credentials are stolen by an attacker, the attacker can
enter into the cloud as a valid user. Distinguishing the valid
user and the attacker (the user, who is doing identity crime).
Protecting the real user’s sensitive data on the cloud from the
attacker (insider data theft attacker). Platforms will not show
the complexity and details of the underlying infrastructure
from users and applications by providing very simple
graphical interface or API (Applications Programming
Interface Cloud computing is a type of the use or operation of
computers that relies on sharing computing resources rather
than having local servers or personal devices to handle
applications.
Businesses, especially startups small talks, small and medium
businesses (SMBs), are increasingly opting for outsourcing
data and the action of mathematical calculation to the Cloud.
Data theft attacks are increase the volume of the attacker is a
intended to do harm insider. This is considered as one of the
top effective threats to cloud computing by the Cloud privacy
Alliance. While most Cloud computing users are well-aware
of this effective threat, they are left only with trusting the
service provider when it comes to protect their data. The lack
of temporary information into, let alone constraints over, the
Cloud provider authentication, authorization, and audit
controls only make worse with this threat.
Existing data protection mechanisms such as
encryption have failed in preventing data theft attacks,
especially those perpetrated by an insider to the cloud
provider. Much research in Cloud computing security has
focused on ways of preventing unauthorized and illegitimate
access to data by developing sophisticated access control and
encryption mechanisms. However these mechanisms have not
been able to prevent data compromise.
2. LITERATURE SURVEY
Top Threats to Cloud Computing
Cloud Computing represents one of the most significant shifts
in information technology many of us are likely to see in our
lifetimes. Reaching the point where computing functions as a
utility has great potential, promising innovations we cannot
yet imagine. Customers are both excited and nervous at the
prospects of Cloud Computing. They are excited by the
opportunities to reduce capital costs. They are excited for a
chance to divest them of infrastructure management, and focus
on core competencies. Most of all, they are excited by the
agility offered by the on-demand provisioning of computing
and the ability to align information technology with business
strategies and needs more readily. However, customers are
also very concerned about the risks of Cloud Computing if not
properly secured, and the loss of direct control over systems
for which they are nonetheless accountable. To aid both cloud
customers and cloud providers, CSA developed “Security
Guidance for Critical Areas in Cloud Computing”, initially
released in April 2009, and revised in December 2009. This
guidance has quickly become the industry standard catalogue
of best practices to secure Cloud Computing, consistently
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lauded for its comprehensive approach to the problem, across
13 domains of concern. Numerous organizations around the
world are incorporating the guidance to manage their cloud
strategies.
The great breadth of recommendations provided by CSA
guidance creates an implied responsibility for the reader. Not
all recommendations are applicable to all uses of Cloud
Computing. Some cloud services host customer information of
very low sensitivity, while others represent mission critical
business functions. Some cloud applications contain regulated
personal information, while others instead provide cloud-based
protection against external threats. It is incumbent upon
the cloud customer to understand the organizational value of
the system they seek to move into the cloud. Ultimately, CSA
guidance must be applied within the context of the business
mission, risks, rewards, and cloud threat environment using
sound risk management practices.
Top Threats to Cloud Computing, is to provide needed
context to assist organizations in making educated risk
management decisions regarding their cloud adoption
strategies. In essence, this threat research document should be
seen as a companion to “Security Guidance for Critical Areas
in Cloud Computing”. As the first deliverable in the CSA’s
Cloud Threat Initiative, the “Top Threats” document will be
updated regularly to reflect expert consensus on the probable
threats which customers should be concerned about. There has
been much debate about what is “in scope” for this research.
We expect this debate to continue and for future versions of
“Top Threats to Cloud Computing” to reflect the consensus
emerging from those debates. While many issues, such as
provider financial stability, create significant risks to
customers, we have tried to focus on issues we feel are either
unique to or greatly amplified by the key characteristics of
Cloud Computing and its shared, on-demand nature. We
identify the following threats in our initial document:
· Abuse and Nefarious Use of Cloud Computing
· Insecure Application Programming Interfaces
· Malicious Insiders
· Shared Technology Vulnerabilities
· Data Loss/Leakage
· Account, Service & Traffic Hijacking
· Unknown Risk Profile
Our goal is to provide a threat identification deliverable that
can be quickly updated to reflect the dynamics of Cloud
Computing and its rapidly evolving threat environment. We
look forward to your participation on subsequent versions of
“Top Threats to Cloud Computing”, as we continue to refine
our list of threats, and to your input as we all figure out how to
secure Cloud Computing.
Threat #1: Abuse and Nefarious Use of Cloud Computing
IaaS providers offer their customers the illusion of unlimited
compute, network, and storage capacity — often coupled with
a ‘frictionless’ registration process where anyone with a valid
credit card can register and immediately begin using cloud
services. Some providers even offer free limited trial periods.
By abusing the relative anonymity behind these registration
and usage models, spammers, malicious code authors, and
other criminals have been able to conduct their activities with
relative impunity. PaaS providers have traditionally suffered
most from this kind of attacks; however, recent evidence
shows that hackers have begun to target IaaS vendors as well.
Future areas of concern include password and key cracking,
DDOS, launching dynamic attack points, hosting malicious
data, botnet command and control, building rainbow tables,
and CAPTCHA solving farms.
Threat #2: Insecure Interfaces and APIs
Cloud Computing providers expose a set of software
interfaces or APIs that customers use to manage and interact
with cloud services. Provisioning, management, orchestration,
and monitoring are all performed using these interfaces. The
security and availability of general cloud services is dependent
upon the security of these basic APIs. From authentication and
access control to encryption and activity monitoring, these
interfaces must be designed to protect against both accidental
and malicious attempts to circumvent policy. Furthermore,
organizations and third parties often build upon these
interfaces to offer value-added services to their customers.
This introduces the complexity of the new layered API; it also
increases risk, as organizations may be required to relinquish
their credentials to third parties in order to enable their agency.
Threat #3: Malicious Insiders
The threat of a malicious insider is well-known to most
organizations. This threat is amplified for consumers of cloud
services by the convergence of IT services and customers
under a single management domain, combined with a general
lack of transparency into provider process and procedure. For
example, a provider may not reveal how it grants employees
access to physical and virtual assets, how it monitors these
employees, or how it analyzes and reports on policy
compliance. To complicate matters, there is often little or no
visibility into the hiring standards and practices for cloud
employees. This kind of situation clearly creates an attractive
opportunity for an adversary — ranging from the hobbyist
hacker, to organized crime, to corporate espionage, or even
nation-state sponsored intrusion. The level of access granted
could enable such an adversary to harvest confidential data or
gain complete control over the cloud services with little or no
risk of detection.
3. PROPOSED SYSTEM
We propose a completely different approach to securing the
cloud using decoy information technology, that we have come
to call Fog computing. We use this technology to launch
disinformation attacks against malicious insiders, preventing
them from distinguishing the real sensitive customer data from
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fake worthless data. The decoys, then, serve two purposes: (1)
validating whether data access is authorized
when abnormal information access is detected, and (2)
confusing the attacker with bogus information.
MODULE DESCRIPTION:
1. Cloud Computing.
2. User Behavior Profiling:
3. Decoy documents.
1. Cloud computing: Cloud computing is a model for enabling
convenient, on demand network access to a shared pool of
configurable computing resources (for example, networks,
servers, storage, applications, and services) that can be rapidly
provisioned and released with minimal management effort or
service-provider interaction. It divides into three types
1. Application as a service.
2. Infrastructure as a service.
3. Platform as a service.
2. User Behavior Profiling: We monitor data access in the
cloud and detect abnormal data access patterns User profiling
is a well known Technique that can be applied here to model
how, when, and how much a user accesses their information in
the Cloud. Such ‘normal user’ behavior can be continuously
checked to determine whether abnormal access to a user’s
information is occurring. This method of behavior-based
security is commonly used in fraud detection applications.
Such profiles would naturally include volumetric information,
how many documents are typically read and how often. We
monitor for abnormal search behaviors that exhibit deviations
from the user baseline the correlation of search behavior
anomaly detection with trap-based decoy files should provide
stronger evidence of malfeasance, and therefore improve a
detector’s accuracy.
3. Decoy documents: We propose a different approach for
securing data in thecloud using offensive decoy technology.
We monitor data access in the cloud and detect abnormal data
access patterns. we launch a disinformation attack by returning
large amounts of decoy information to the attacker. This
protects against the misuse of the user’s real data. We use this
technology to launch disinformation attacks against malicious
insiders, preventing them from distinguishing the real
sensitive customer data from fake worthless data the decoys,
then, serve two purposes:
(1) Validating whether data access is authorized when
abnormal information access is detected, and
(2) Confusing the attacker with bogus information..
4. IMPLEMENTATION
Figure 1 System Architecture
Figure.2. AUC Comparison by user
4.1. System Modules
User Access Behavior Profiling: It is expected that access to a
user’s information in the Cloud will exhibit a normal means of
access. User profiling is a well known technique that can be
applied here to model how, when, and how much a user
accesses their information in the Cloud. Such ‘normal user’
behavior can be continuously checked to determine whether
abnormal access to a user’s information is occurring. This
method of behavior-based security is commonly used in fraud
detection applications. Such profiles would naturally include
volumetric information, how many documents are typically
read and how often. These simple user specific features can
serve to detect abnormal Cloud access based partially upon the
scale and scope of data transferred.
Decoy File System Maintenance: Decoy information, such as
decoy documents, honeyfiles, honeypots, and various other
bogus information can be generated on demand and serve as a
means of detecting unauthorized access to information and to
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‘poison’ the thief’s ex-filtrated information. Serving decoys
will confound and confuse an adversary into believing they
have ex-filtrated useful information, when they have not. This
technology may be integrated with user behavior profiling
technology to secure a user’s information in the Cloud.
Whenever abnormal access to a cloud service is noticed,
decoy information may be returned by the Cloud and delivered
in such a way as to appear completely legitimate and normal.
The true user, who is the owner of the information, would
readily identify when decoy information is being returned by
the Cloud, and hence could alter the Cloud’s responses
through a variety of means, such as challenge questions, to
inform the Cloud security system that it has inaccurately
detected an unauthorized access. In the case where the access
is correctly identified as an unauthorized access, the Cloud
security system would deliver unbounded amounts of bogus
information to the adversary, thus securing the user’s true data
from unauthorized disclosure. The decoys, then, serve two
purposes: (1) validating whether data access is authorized
when abnormal information access is detected, and (2)
confusing the attacker with bogus information.
Anomaly Detection: The correlation of search behavior
anomaly detection with trap-based decoy files should provide
stronger evidence of malfeasance, and therefore improve a
detector’s accuracy. We hypothesize that detecting abnormal
search operations performed prior to an unsuspecting user
opening a decoy file will corroborate the suspicion that the
user is indeed impersonating another victim user. This
scenario covers the threat model of illegitimate access to
Cloud data. Furthermore, an accidental opening of a decoy file
by a legitimate user might be recognized as an accident if the
search behavior is not deemed abnormal. In other words,
detecting abnormal search and decoy traps together may make
a very effective masquerade detection system. Combining the
two techniques improves detection accuracy.
We use decoys as an oracle for validating the alerts issued by
the sensor monitoring the user’s file search and access
behavior. In our experiments, we did not generate the decoys
on demand at the time of detection when the alert was issued.
Instead, we made sure that the decoys were conspicuous
enough for the attacker to access them if they were indeed
trying to steal information by placing them in highly
conspicuous directories and by giving them enticing names.
With this approach, we were able to improve the accuracy of
our detector. Crafting the decoys on demand improves the
accuracy of the detector even further. Combining the two
techniques, and having the decoy documents act as an oracle
for our detector when abnormal user behavior is detected may
lower the overall false positive rate of detector.
Challenge Requests: If the current user’s behavior seems
anomalous, then the user is asked for randomly selected secret
questions. If the user fails to provide correct answers for a
certain limits or threshold, the user is provided with decoy
files. If the user provided correct answers for a limit, the user
is treated as normal user.
5. CONCLUSION
We present a novel approach to securing personal and
business data in the Cloud. We propose monitoring data
access patterns by profiling user behavior to determine if and
when a malicious insider illegitimately accesses someone’s
documents in a Cloud service. Decoy documents stored in the
Cloud alongside the user’s real data also serve as sensors to
detect illegitimate access. Once unauthorized data access or
exposure is suspected, and later verified, with challenge
questions for instance, we inundate the malicious insider with
bogus information in order to dilute the user’s real data. Such
preventive attacks that rely on disinformation technology ,
could provide unprecedented levels of security in the Cloud
and in social networks model.
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