Textual based retrieval system with bloom in unstructured Peer-to-Peer networksUvaraj Shan
This document summarizes a research article about a textual retrieval system using Bloom filters in unstructured peer-to-peer networks. It discusses how Bloom Cast replicates document content across the network using Bloom filters to encode documents. This allows for efficient full-text searches with guaranteed recall rates while reducing communication costs compared to replicating raw documents. The system samples nodes randomly using a lightweight distributed hash table to support searches in an unstructured P2P network where the network size is unknown.
A Proximity-Aware Interest-Clustered P2P File Sharing System 1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A study of index poisoning in peer topeerIJCI JOURNAL
P2P file sharing systems are the most popular forms of file sharing to date. Its client-server architecture
attains faster file transfers, however with its peer anonymity and lack of authentication it has become a
gold mine for malicious attacks. One of the leading sources of disruptions in the P2P file sharing systems is
the index poisoning attacks. This attack seeks to corrupt the indexes used to reference files available for
download in P2P systems with false data. In order to protect the users from these attacks it is important to
find solutions to eliminate or mitigate the effects of index poisoning attacks. This paper will analyze index
poisoning attacks, their uses and solutions proposed to defend against them.
Filtering Unwanted Messages from Online Social Networks (OSN) using Rule Base...IOSR Journals
Online Social Networks (OSNs) are today one of the most popular interactive medium to share,
communicate, and distribute a significant amount of human life information. In OSNs, information filtering can
also be used for a different, more responsive, function. This is owing to the fact that in OSNs there is the
possibility of posting or commenting other posts on particular public/private regions, called in general walls.
Information filtering can therefore be used to give users the ability to automatically control the messages
written on their own walls, by filtering out unwanted messages. OSNs provide very little support to prevent
unwanted messages on user walls. For instance, Facebook permits users to state who is allowed to insert
messages in their walls (i.e., friends, defined groups of friends or friends of friends). Though, no content-based
partialities are preserved and therefore it is not possible to prevent undesired communications, for instance
political or offensive ones, no matter of the user who posts them. To propose and experimentally evaluate an
automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls
On client’s interactive behaviour to design peer selection policies for bitto...IJCNCJournal
Peer-to-peer swarming protocols have been proven to be very efficient for content replication over Internet.
This fact has certainly motivated proposals to adapt these protocols to meet the requirements of on-demand
streaming system. The vast majority of these proposals focus on modifying the piece and peer selection
policies, respectively, of the original protocols. Nonetheless, it is true that more attention has often been
given to the piece selection policy rather than to the peer selection policy. Within this context, this article
proposes a simple algorithm to be used as basis for peer selection policies of BitTorrent-like protocols,
considering interactive scenarios. To this end, we analyze the client’s interactive behaviour when accessing
real multimedia systems. This analysis consists of looking into workloads of real content providers and
assessing three important metrics, namely temporal dispersion, spatial dispersion and object position
popularity. These metrics are then used as the main guidelines for writing the algorithm. To the best of our
knowledge, this is the first time that the client’s interactive behaviour is specially considered to derive an
algorithm for peer selection policies. Finally, the conclusion of this article is drawn with key challenges
and possible future work in this research field.
Textual based retrieval system with bloom in unstructured Peer-to-Peer networksUvaraj Shan
This document summarizes a research article about a textual retrieval system using Bloom filters in unstructured peer-to-peer networks. It discusses how Bloom Cast replicates document content across the network using Bloom filters to encode documents. This allows for efficient full-text searches with guaranteed recall rates while reducing communication costs compared to replicating raw documents. The system samples nodes randomly using a lightweight distributed hash table to support searches in an unstructured P2P network where the network size is unknown.
A Proximity-Aware Interest-Clustered P2P File Sharing System 1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A study of index poisoning in peer topeerIJCI JOURNAL
P2P file sharing systems are the most popular forms of file sharing to date. Its client-server architecture
attains faster file transfers, however with its peer anonymity and lack of authentication it has become a
gold mine for malicious attacks. One of the leading sources of disruptions in the P2P file sharing systems is
the index poisoning attacks. This attack seeks to corrupt the indexes used to reference files available for
download in P2P systems with false data. In order to protect the users from these attacks it is important to
find solutions to eliminate or mitigate the effects of index poisoning attacks. This paper will analyze index
poisoning attacks, their uses and solutions proposed to defend against them.
Filtering Unwanted Messages from Online Social Networks (OSN) using Rule Base...IOSR Journals
Online Social Networks (OSNs) are today one of the most popular interactive medium to share,
communicate, and distribute a significant amount of human life information. In OSNs, information filtering can
also be used for a different, more responsive, function. This is owing to the fact that in OSNs there is the
possibility of posting or commenting other posts on particular public/private regions, called in general walls.
Information filtering can therefore be used to give users the ability to automatically control the messages
written on their own walls, by filtering out unwanted messages. OSNs provide very little support to prevent
unwanted messages on user walls. For instance, Facebook permits users to state who is allowed to insert
messages in their walls (i.e., friends, defined groups of friends or friends of friends). Though, no content-based
partialities are preserved and therefore it is not possible to prevent undesired communications, for instance
political or offensive ones, no matter of the user who posts them. To propose and experimentally evaluate an
automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls
On client’s interactive behaviour to design peer selection policies for bitto...IJCNCJournal
Peer-to-peer swarming protocols have been proven to be very efficient for content replication over Internet.
This fact has certainly motivated proposals to adapt these protocols to meet the requirements of on-demand
streaming system. The vast majority of these proposals focus on modifying the piece and peer selection
policies, respectively, of the original protocols. Nonetheless, it is true that more attention has often been
given to the piece selection policy rather than to the peer selection policy. Within this context, this article
proposes a simple algorithm to be used as basis for peer selection policies of BitTorrent-like protocols,
considering interactive scenarios. To this end, we analyze the client’s interactive behaviour when accessing
real multimedia systems. This analysis consists of looking into workloads of real content providers and
assessing three important metrics, namely temporal dispersion, spatial dispersion and object position
popularity. These metrics are then used as the main guidelines for writing the algorithm. To the best of our
knowledge, this is the first time that the client’s interactive behaviour is specially considered to derive an
algorithm for peer selection policies. Finally, the conclusion of this article is drawn with key challenges
and possible future work in this research field.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document proposes a system called Filtered Wall (FW) to filter unwanted messages from users' walls in Online Social Networks (OSNs). FW uses machine learning techniques to automatically categorize short text messages. It also provides flexible filtering rules that allow users to customize which content is displayed on their walls based on message categorization, user profiles, and relationships. The system was experimentally evaluated on its ability to accurately categorize messages and effectively apply the filtering rules. A prototype was implemented for Facebook to demonstrate the system.
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
The document proposes a Proximity-Aware Interest-Clustered P2P file sharing system (PAIS) that improves on existing P2P systems. It clusters peers based on both physical proximity and common interests. PAIS forms physically close nodes into clusters and further groups nodes with common interests into sub-clusters. It uses an intelligent file replication algorithm to create replicas of frequently requested files near the requesting nodes. PAIS also enhances intra-subcluster file searching through approaches like classifying interests into sub-interests and connecting nodes in each sub-interest group. Experimental results show PAIS significantly reduces overhead and improves file sharing efficiency.
LAK13: Visualizing Social Learning Ties by Type and Topic: Rationale and Co...Bieke Schreurs
This document introduces the Network Awareness Tool (NAT) plugin for SocialLearn, which visualizes social learning networks on online learning platforms. The NAT plugin identifies relationships between users who interact around common learning topics. It displays these relationships through tag clouds of discussion themes, visualized networks of interactions within themes, and individual ego-networks. This helps learners reflect on their learning networks and educators guide network development and foster collaboration. The plugin is motivated by theories of networked learning and social capital, analyzing how professionals engage in learning relationships and the value of these engagements. Future research areas are identified like analyzing network dynamics and influence of tie content.
A system to filter unwanted messages from theMadan Golla
This document presents a system to filter unwanted messages from social network users' walls. It consists of three main components: filtering rules, thresholds for applying the rules which are customized for each user, and a blacklist mechanism. The filtering rules allow users to control what types of messages are allowed on their walls based on attributes of the message creator and their relationship to the user. The system aims to provide flexible and transparent filtering of messages while minimizing mistakes.
A Domain Based Approach to Information Retrieval in Digital Libraries - Rotel...University of Bari (Italy)
The current abundance of electronic documents requires automatic techniques that support the users in understanding their content and extracting useful information. To this aim, improving the retrieval performance must necessarily go beyond simple lexical interpretation of the user queries, and pass through an understanding of their semantic content and aims. It goes without saying that any digital library would take enormous advantage from the availability of effective Information Retrieval techniques to provide to their users. This paper proposes an approach to Information Retrieval based on a correspondence of the domain of discourse between the query and the documents in the repository. Such an association is based on standard general-purpose linguistic resources (WordNet and WordNet Domains) and on a novel similarity assessment technique. Although the work is at a preliminary stage, interesting initial results suggest to go on extending and improving the approach.
Maximizing p2 p file access availability in mobile ad hoc networks though rep...LeMeniz Infotech
Maximizing p2 p file access availability in mobile ad hoc networks though replication for efficient file sharing
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
A system to filter unwanted messages from OSN user wallsGajanand Sharma
The document presents a system to filter unwanted messages from user walls on online social networks. It uses machine learning techniques like text classification and radial basis function networks to categorize messages as neutral or non-neutral, and further classify non-neutral messages. Users can define custom filtering rules and blacklists to automatically filter messages on their walls based on content, user relationships, and other criteria. The system aims to give users more control over their timeline posts while maintaining flexibility.
This is a presentation that describes at a high level some of the work we've been performing related to NodeXL and it's use to understand social media networks.
Iaetsd an enhancement for content sharing overIaetsd Iaetsd
This document proposes an efficient content sharing scheme called discover-predict-deliver (DPD) for smartphone-based delay tolerant networks (DTNs). It uses a hidden Markov model to predict individual mobility information to improve content discovery and delivery. The existing system results in a 2% CPU overhead and reduces smartphone battery life by 15%. To minimize energy consumption, the document proposes using sensor scheduling schemes in an opportunistic context. It aims to solve problems in content sharing and minimize energy use through sensor scheduling.
This document discusses analyzing social media networks using NodeXL. It defines social media and lists common types. It then covers key concepts in social network analysis including nodes, edges, metrics like centrality and density. NodeXL is introduced as a tool for visualizing and analyzing social networks from data collected from sources like personal emails, Twitter, forums and YouTube. Examples of social network analyses using NodeXL are provided such as mapping corporate email communication and identifying influencers on Twitter.
Searching for patterns in crowdsourced informationSilvia Puglisi
This document introduces crowdsourcing and discusses discovering patterns in crowdsourced data. It discusses defining the context of volunteered information on the internet in order to understand relationships between data. A network model is proposed where different types of context define nodes and relationships between context determine edges. Properties of small world networks are discussed including how they could be used to model relationships between crowdsourced data and evaluate data quality. Finally, applications to search ranking, privacy and security are briefly mentioned.
This document outlines a proposed system to filter unwanted messages from online social networks. It discusses the existing problems of misuse on social media platforms. The proposed system would use machine learning techniques like SVM for text categorization and identification of fake profiles to filter content by category (e.g. abusive, vulgar, sexual). It presents the system architecture as a three-tier structure and provides results of testing the filtering mechanism and classifier. The conclusion is that the "Filtered wall" system could address concerns around unwanted content on social media walls.
A QUERY LEARNING ROUTING APPROACH BASED ON SEMANTIC CLUSTERSijait
Peer-to-peer systems have recently a remarkable success in the social, academic, and commercial communities. A fundamental problem in Peer-to-Peer systems is how to efficiently locate appropriate peers to answer a specific query (Query Routing Problem). A lot of approaches have been carried out to enhance search result quality as well as to reduce network overhead. Recently, researches focus on methods based on query-oriented routing indices. These methods utilize the historical information of past queries and query hits to build a local knowledge base per peer, which represents the user's interests or profile. When a peer forwards a given query, it evaluates the query against its local knowledge base in order to select a set of relevant peers to whom the query will be routed. Usually, an insufficient number of relevant peers is selected from the current peer's local knowledge base thus a broadcast search is investigated which badly affects the approach efficiency. To tackle this problem, we introduce a novel method that clusters peers having similar interests. It exploits not only the current peer's knowledge base but also that of the others in
the cluster to extract relevant peers. We implemented the proposed approach, and tested (i) its retrieval effectiveness in terms of recall and precision, (ii) its search cost in terms of messages traffic and visited peers number. Experimental results show that our approach improves the recall and precision metrics while reducing dramatically messages traffic.
Analysis of threats and security issues evaluation in mobile P2P networks IJECEIAES
Technically, mobile P2P network system architecture can consider as a distributed architecture system (like a community), where the nodes or users can share all or some of their own software and hardware resources such as (applications store, processing time, storage, network bandwidth) with the other nodes (users) through Internet, and these resources can be accessible directly by the nodes in that system without the need of a central coordination node. The main structure of our proposed network architecture is that all the nodes are symmetric in their functions. In this work, the security issues of mobile P2P network system architecture such as (web threats, attacks and encryption) will be discussed deeply and then we propose different approaches and we analysis and evaluation of these mobile P2P network security issues and submit some proposal solutions to resolve the related problems with threats and other different attacks since these threats and attacks will be serious issue as networks are growing up especially with mobility attribute in current P2P networks.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET NETWORKING PROJECTS A proximity aware interest-clustered p2p...IEEEMEMTECHSTUDENTPROJECTS
This document describes a proposed proximity-aware and interest-clustered peer-to-peer (P2P) file sharing system (PAIS) that forms physically close nodes into clusters and further groups nodes with common interests into subclusters. It aims to improve file searching efficiency by creating replicas of frequently requested files within subclusters. The system analyzes user interests and file sharing behaviors to construct the network topology and uses an intelligent file replication algorithm. The experimental results show this approach improves file searching performance compared to existing P2P systems.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document proposes a system called Filtered Wall (FW) to filter unwanted messages from users' walls in Online Social Networks (OSNs). FW uses machine learning techniques to automatically categorize short text messages. It also provides flexible filtering rules that allow users to customize which content is displayed on their walls based on message categorization, user profiles, and relationships. The system was experimentally evaluated on its ability to accurately categorize messages and effectively apply the filtering rules. A prototype was implemented for Facebook to demonstrate the system.
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
The document proposes a Proximity-Aware Interest-Clustered P2P file sharing system (PAIS) that improves on existing P2P systems. It clusters peers based on both physical proximity and common interests. PAIS forms physically close nodes into clusters and further groups nodes with common interests into sub-clusters. It uses an intelligent file replication algorithm to create replicas of frequently requested files near the requesting nodes. PAIS also enhances intra-subcluster file searching through approaches like classifying interests into sub-interests and connecting nodes in each sub-interest group. Experimental results show PAIS significantly reduces overhead and improves file sharing efficiency.
LAK13: Visualizing Social Learning Ties by Type and Topic: Rationale and Co...Bieke Schreurs
This document introduces the Network Awareness Tool (NAT) plugin for SocialLearn, which visualizes social learning networks on online learning platforms. The NAT plugin identifies relationships between users who interact around common learning topics. It displays these relationships through tag clouds of discussion themes, visualized networks of interactions within themes, and individual ego-networks. This helps learners reflect on their learning networks and educators guide network development and foster collaboration. The plugin is motivated by theories of networked learning and social capital, analyzing how professionals engage in learning relationships and the value of these engagements. Future research areas are identified like analyzing network dynamics and influence of tie content.
A system to filter unwanted messages from theMadan Golla
This document presents a system to filter unwanted messages from social network users' walls. It consists of three main components: filtering rules, thresholds for applying the rules which are customized for each user, and a blacklist mechanism. The filtering rules allow users to control what types of messages are allowed on their walls based on attributes of the message creator and their relationship to the user. The system aims to provide flexible and transparent filtering of messages while minimizing mistakes.
A Domain Based Approach to Information Retrieval in Digital Libraries - Rotel...University of Bari (Italy)
The current abundance of electronic documents requires automatic techniques that support the users in understanding their content and extracting useful information. To this aim, improving the retrieval performance must necessarily go beyond simple lexical interpretation of the user queries, and pass through an understanding of their semantic content and aims. It goes without saying that any digital library would take enormous advantage from the availability of effective Information Retrieval techniques to provide to their users. This paper proposes an approach to Information Retrieval based on a correspondence of the domain of discourse between the query and the documents in the repository. Such an association is based on standard general-purpose linguistic resources (WordNet and WordNet Domains) and on a novel similarity assessment technique. Although the work is at a preliminary stage, interesting initial results suggest to go on extending and improving the approach.
Maximizing p2 p file access availability in mobile ad hoc networks though rep...LeMeniz Infotech
Maximizing p2 p file access availability in mobile ad hoc networks though replication for efficient file sharing
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
A system to filter unwanted messages from OSN user wallsGajanand Sharma
The document presents a system to filter unwanted messages from user walls on online social networks. It uses machine learning techniques like text classification and radial basis function networks to categorize messages as neutral or non-neutral, and further classify non-neutral messages. Users can define custom filtering rules and blacklists to automatically filter messages on their walls based on content, user relationships, and other criteria. The system aims to give users more control over their timeline posts while maintaining flexibility.
This is a presentation that describes at a high level some of the work we've been performing related to NodeXL and it's use to understand social media networks.
Iaetsd an enhancement for content sharing overIaetsd Iaetsd
This document proposes an efficient content sharing scheme called discover-predict-deliver (DPD) for smartphone-based delay tolerant networks (DTNs). It uses a hidden Markov model to predict individual mobility information to improve content discovery and delivery. The existing system results in a 2% CPU overhead and reduces smartphone battery life by 15%. To minimize energy consumption, the document proposes using sensor scheduling schemes in an opportunistic context. It aims to solve problems in content sharing and minimize energy use through sensor scheduling.
This document discusses analyzing social media networks using NodeXL. It defines social media and lists common types. It then covers key concepts in social network analysis including nodes, edges, metrics like centrality and density. NodeXL is introduced as a tool for visualizing and analyzing social networks from data collected from sources like personal emails, Twitter, forums and YouTube. Examples of social network analyses using NodeXL are provided such as mapping corporate email communication and identifying influencers on Twitter.
Searching for patterns in crowdsourced informationSilvia Puglisi
This document introduces crowdsourcing and discusses discovering patterns in crowdsourced data. It discusses defining the context of volunteered information on the internet in order to understand relationships between data. A network model is proposed where different types of context define nodes and relationships between context determine edges. Properties of small world networks are discussed including how they could be used to model relationships between crowdsourced data and evaluate data quality. Finally, applications to search ranking, privacy and security are briefly mentioned.
This document outlines a proposed system to filter unwanted messages from online social networks. It discusses the existing problems of misuse on social media platforms. The proposed system would use machine learning techniques like SVM for text categorization and identification of fake profiles to filter content by category (e.g. abusive, vulgar, sexual). It presents the system architecture as a three-tier structure and provides results of testing the filtering mechanism and classifier. The conclusion is that the "Filtered wall" system could address concerns around unwanted content on social media walls.
A QUERY LEARNING ROUTING APPROACH BASED ON SEMANTIC CLUSTERSijait
Peer-to-peer systems have recently a remarkable success in the social, academic, and commercial communities. A fundamental problem in Peer-to-Peer systems is how to efficiently locate appropriate peers to answer a specific query (Query Routing Problem). A lot of approaches have been carried out to enhance search result quality as well as to reduce network overhead. Recently, researches focus on methods based on query-oriented routing indices. These methods utilize the historical information of past queries and query hits to build a local knowledge base per peer, which represents the user's interests or profile. When a peer forwards a given query, it evaluates the query against its local knowledge base in order to select a set of relevant peers to whom the query will be routed. Usually, an insufficient number of relevant peers is selected from the current peer's local knowledge base thus a broadcast search is investigated which badly affects the approach efficiency. To tackle this problem, we introduce a novel method that clusters peers having similar interests. It exploits not only the current peer's knowledge base but also that of the others in
the cluster to extract relevant peers. We implemented the proposed approach, and tested (i) its retrieval effectiveness in terms of recall and precision, (ii) its search cost in terms of messages traffic and visited peers number. Experimental results show that our approach improves the recall and precision metrics while reducing dramatically messages traffic.
Analysis of threats and security issues evaluation in mobile P2P networks IJECEIAES
Technically, mobile P2P network system architecture can consider as a distributed architecture system (like a community), where the nodes or users can share all or some of their own software and hardware resources such as (applications store, processing time, storage, network bandwidth) with the other nodes (users) through Internet, and these resources can be accessible directly by the nodes in that system without the need of a central coordination node. The main structure of our proposed network architecture is that all the nodes are symmetric in their functions. In this work, the security issues of mobile P2P network system architecture such as (web threats, attacks and encryption) will be discussed deeply and then we propose different approaches and we analysis and evaluation of these mobile P2P network security issues and submit some proposal solutions to resolve the related problems with threats and other different attacks since these threats and attacks will be serious issue as networks are growing up especially with mobility attribute in current P2P networks.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET NETWORKING PROJECTS A proximity aware interest-clustered p2p...IEEEMEMTECHSTUDENTPROJECTS
This document describes a proposed proximity-aware and interest-clustered peer-to-peer (P2P) file sharing system (PAIS) that forms physically close nodes into clusters and further groups nodes with common interests into subclusters. It aims to improve file searching efficiency by creating replicas of frequently requested files within subclusters. The system analyzes user interests and file sharing behaviors to construct the network topology and uses an intelligent file replication algorithm. The experimental results show this approach improves file searching performance compared to existing P2P systems.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
Flexible bloom for searching textual contentUvaraj Shan
This document describes BloomCast, a system that uses Bloom filters to encode document content and replicate it across peers in an unstructured peer-to-peer (P2P) network. BloomCast aims to achieve high recall for search queries at low communication cost. It hybridizes a lightweight distributed hash table (DHT) with the P2P overlay to enable random node sampling and network size estimation. The DHT helps meet two constraints: query and document replicas are randomly distributed across the network, and peers know the network size. By uniformly replicating content across the network, BloomCast can guarantee search recall. It utilizes Bloom filters to compress document replicas and reduce replication costs.
Flexible bloom for searching textual contentUvaraj Shan
This document presents the BloomCast scheme for efficient full-text retrieval in unstructured peer-to-peer networks. BloomCast replicates document content across the network in the form of Bloom filters to reduce communication costs while still guaranteeing recall. It hybridizes a lightweight distributed hash table with the unstructured overlay to support random node sampling and network size estimation. Queries are evaluated based on Bloom filter membership verification to support full-text searches with the potential for false positives but no false negatives. The system aims to provide efficient and effective full-text retrieval in unstructured P2P networks.
A proximity aware interest-clustered p2 p file sharing systemLeMeniz Infotech
A proximity aware interest-clustered p2 p file sharing system
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FUTURE OF PEER-TO-PEER TECHNOLOGY WITH THE RISE OF CLOUD COMPUTINGijp2p
Peer-to-Peer (P2P) networking emerged as a disruptive business model displacing the server based
networks within a point in time.P2P technologies are on the edge of becoming all-purpose in developing
several applications for social networking. In the past seventeen years, research on P2P computing and
systems has received enormous amount of attention in the areas of academia and the industry. P2P rose to
triumphant profit-making systems in the internet. It represents the best incarnation of the end to end
argument, the frequently disputed design philosophies that guided the design of the internet. The doubting
factor then is why is research on P2P computing now fading from the spotlight and suffering a nose dive
fall as dramatic as its rise to its popularity. This paper is going to capture a quick look at past results in
peer-to-peer computing with focus on understanding what led to its rise, what contributed to its commercial
success and what has led to its lack of interest. The insight of this paper introduces cloud computing as a
paradigm to peer-to-peer computing.
FUTURE OF PEER-TO-PEER TECHNOLOGY WITH THE RISE OF CLOUD COMPUTINGijp2p
Peer-to-Peer (P2P) networking emerged as a disruptive business model displacing the server based
networks within a point in time.P2P technologies are on the edge of becoming all-purpose in developing
several applications for social networking. In the past seventeen years, research on P2P computing and
systems has received enormous amount of attention in the areas of academia and the industry. P2P rose to
triumphant profit-making systems in the internet. It represents the best incarnation of the end to end
argument, the frequently disputed design philosophies that guided the design of the internet. The doubting
factor then is why is research on P2P computing now fading from the spotlight and suffering a nose dive
fall as dramatic as its rise to its popularity. This paper is going to capture a quick look at past results in
peer-to-peer computing with focus on understanding what led to its rise, what contributed to its commercial
success and what has led to its lack of interest. The insight of this paper introduces cloud computing as a
paradigm to peer-to-peer computing.
A proximity aware interest-clustered p2 p file sharing systemShakas Technologies
Malicious and selfish behaviors represent a serious threat against routing in Delay/Disruption Tolerant Networks (DTNs). Due to the unique network characteristics, designing a misbehavior detection scheme in DTN is regarded as a great challenge.
The document proposes a query registration and processing system for unstructured peer-to-peer networks. The system addresses limitations of traditional ad hoc query models which only support queries for currently available data and cannot retrieve data added later. The proposed system registers queries for unavailable data with "beacon" nodes, and notifies queryers when matching data becomes available. It also utilizes a "split and merge" technique to distribute file chunks to clients for maximum throughput during downloads. Experimental results show improved search times and throughput utilization compared to methods without query registration or optimized distribution.
IEEE ISM 2008: Kalman Graffi: A Distributed Platform for Multimedia CommunitiesKalman Graffi
Online community platforms and multimedia content delivery are merging in recent years. Current platforms like Facebook and YouTube are client-server based which result in high administration costs for the provider. In contrast to that peer-to-peer systems offer scalability and low costs, but are limited in their functionality. In this paper we present a framework for peer-to-peer based multimedia online communities.We identified the key challenges for this new application of the peer-to-peer paradigm and built a plugin based, easily extendible and multifunctional framework. Further, we identified distributed linked lists as valuable data structure to implement the user profiles, friend lists, groups, photo albums and more. Our framework aims at providing the functionality of common online community platforms combined with the multimedia delivery capabilities of modern peer-to-peer systems, e.g. direct multimedia delivery and access to a distributed multimedia pool.
Privacy Preserved Distributed Data Sharing with Load Balancing SchemeEditor IJMTER
Data sharing services are provided under the Peer to Peer (P2P) environment. Federated
database technology is used to manage locally stored data with a federated DBMS and provide unified
data access. Information brokering systems (IBSs) are used to connect large-scale loosely federated data
sources via a brokering overlay. Information brokers redirect the client queries to the requested data
servers. Privacy preserving methods are used to protect the data location and data consumer. Brokers are
trusted to adopt server-side access control for data confidentiality. Query and access control rules are
maintained with shared data details under metadata. A Semantic-aware index mechanism is applied to
route the queries based on their content and allow users to submit queries without data or server
information.
Distributed data sharing is managed with Privacy Preserved Information Brokering (PPIB)
scheme. Attribute-correlation attack and inference attacks are handled by the PPIB. PPIB overlay
infrastructure consisting of two types of brokering components, brokers and coordinators. The brokers
acts as mix anonymizer are responsible for user authentication and query forwarding. The coordinators
concatenated in a tree structure, enforce access control and query routing based on the automata.
Automata segmentation and query segment encryption schemes are used in the Privacy-preserving
Query Brokering (QBroker). Automaton segmentation scheme is used to logically divide the global
automaton into multiple independent segments. The query segment encryption scheme consists of the
preencryption and postencryption modules.
The PPIB scheme is enhanced to support dynamic site distribution and load balancing
mechanism. Peer workloads and trust level of each peer are integrated with the site distribution process.
The PPIB is improved to adopt self reconfigurable mechanism. Automated decision support system for
administrators is included in the PPIB.
SECURITY CONSIDERATION IN PEER-TO-PEER NETWORKS WITH A CASE STUDY APPLICATIONIJNSA Journal
Peer-to-Peer (P2P) overlay networks wide adoption has also created vast dangers due to the millions of users who are not conversant with the potential security risks. Lack of centralized control creates great risks to the P2P systems. This is mainly due to the inability to implement proper authentication approaches for threat management. The best possible solutions, however, include encryption, utilization of administration, implementing cryptographic protocols, avoiding personal file sharing, and unauthorized downloads. Recently a new non-DHT based structured P2P system is very suitable for designing secured communication protocols. This approach is based on Linear Diophantine Equation (LDE) [1]. The P2P architectures based on this protocol offer simplified methods to integrate symmetric and asymmetric cryptographies’ solutions into the P2P architecture with no need of utilizing Transport Layer Security (TLS), and its predecessor, Secure Sockets Layer (SSL) protocols.
Study on security and quality of service implementations in p2 p overlay netw...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Several solutions exist for file storage, sharing, and synchronization. Many of them involve a
central server, or a collection of servers, that either store the files, or act as a gateway for them
to be shared. Some systems take a decentralized approach, wherein interconnected users form a
peer-to-peer (P2P) network, and partake in the sharing process: they share the files they
possess with others, and can obtain the files owned by other peers.
In this paper, we survey various technologies, both cloud-based and P2P-based, that users use
to synchronize their files across the network, and discuss their strengths and weaknesses.
Analyse the performance of mobile peer to Peer network using ant colony optim...IJCI JOURNAL
The document describes analyzing the performance of a mobile peer-to-peer network using ant colony optimization. It proposes using a distributed spanning tree (DST) structure to improve efficiency by reducing the large number of messages. The DST is optimized using ant colony optimization to give an optimal solution. Simulation results show the approach reduces the number of messages, average delay, and increases packet delivery ratio in the network.
Resource management and search is very important yet challenging in large-scale distributed systems like
P2Pnetworks. Most existing P2P systems rely on indexing to efficiently route queries over the network.
However, searches based on such indices face two key issues. First, majority of existing search schemes
often rely on simply keyword based indices that can only support exact string based matches without taking
into account the meaning of words. Second it is difficult, if not impossible, to devise query based indexing
schemes that can represent all possible concept combinations without resulting in exponential index sizes.
To address these problems, we present BSI, a novel P2P indexing and query routing strategy to support
semantic based content searches. The BSI indexing structure captures the semantic content of documents
using a reference ontology. Our indexing scheme can efficiently handle multi-concept queries by
maintaining summary level information for each individual concept and concept combinations using a
novel space-efficient Two-level Semantic Bloom Filter(TSBF) data structure. By using TSBFs to represent
a large document and query base, BSI significantly reduces the communication cost and storage cost of
indices. Furthermore, We devise a low-overhead mechanism to allow peers to dynamically estimate the
relevance strength of a peer for multi-concept queries with high accuracy solely based on TSBFs. We also
propose a routing index compression mechanism to observe peers’ dynamic storage limitations with
minimal loss of information by exploiting a reference ontology structure. Based on the proposed index
structure, we design a novel query routing algorithm that exploits semantic based information to route
queries to semantically relevant peers. Performance evaluation demonstrates that our proposed approach
can improve the search recall of unstructured P2P systems up to 383.71% while keeping the
communication cost at a low level compared to state-of-art search mechanism OSQR [7].
Similar to leveraging social networks p2 p content-based file sharing in disconnected mane-ts (20)
web service recommendation via exploiting location and qo s informationswathi78
This document proposes a novel collaborative filtering-based web service recommender system to help users select services with optimal quality of service (QoS) performance. The recommender system employs location information and QoS values to cluster users and services, and makes personalized recommendations. It achieves considerable improvement in recommendation accuracy compared to existing methods. Comprehensive experiments using over 1.5 million QoS records from real-world web services demonstrate the effectiveness of the approach.
Online train ticket booking system project.pdfKamal Acharya
Rail transport is one of the important modes of transport in India. Now a days we
see that there are railways that are present for the long as well as short distance
travelling which makes the life of the people easier. When compared to other
means of transport, a railway is the cheapest means of transport. The maintenance
of the railway database also plays a major role in the smooth running of this
system. The Online Train Ticket Management System will help in reserving the
tickets of the railways to travel from a particular source to the destination.
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Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Data Communication and Computer Networks Management System Project Report.pdfKamal Acharya
Networking is a telecommunications network that allows computers to exchange data. In
computer networks, networked computing devices pass data to each other along data
connections. Data is transferred in the form of packets. The connections between nodes are
established using either cable media or wireless media.
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leveraging social networks p2 p content-based file sharing in disconnected mane-ts
1. Leveraging Social Networks P2P Content-Based File Sharing in Disconnected MANETs
Leveraging Social Networks for P2P Content-Based File Sharing in
Disconnected MANETs
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
ABSTRACT
Current peer-to-peer (P2P) file sharing methods in mobile ad hoc networks (MANETs) can be
classified into three groups: flooding-based, advertisement-based, and social contact-based. The
first two groups of methods can easily have high overhead and low scalability. They are mainly
developed for connected MANETs, in which end-to-end connectivity among nodes is ensured.
The third group of methods adapts to the opportunistic nature of disconnected MANETs but fails
to consider the social interests (i.e., contents) of mobile nodes, which can be exploited to
improve the file searching efficiency. In this paper, we propose a P2P content-based file sharing
system, namely SPOON, for disconnected MANETs. The system uses an interest extraction
algorithm to derive a node’s interests from its files for content-based file searching. For efficient
file searching, SPOON groups common- interest nodes that frequently meet with each other as
communities. It takes advantage of node mobility by designating stable nodes, which have the
most frequent contact with community members, as community coordinators for intracommunity
searching, and highly mobile nodes that visit other communities frequently as community
ambassadors for intercommunity searching. An interest-oriented file searching scheme is
proposed for high file searching efficiency. Additional strategies for file prefetching, querying-completion,
and loop-prevention, and node churn consideration are discussed to further enhance
the file searching efficiency. We first tested our system on the GENI Orbit testbed with a real
trace and then conducted event-driven experiment with two real traces and NS2 simulation with
simulated disconnected and connected MANET scenarios. The test results show that our system
significantly lowers transmission cost and improves file searching success rate compared to
current methods.
EXISTING SYSTEM:
The flooding-based methods, 7DS is one of the first approaches to port P2P technology to mobile
environments. It exploits the mobility of nodes within a geographic area to disseminate web
content among neighbors. Passive distributed indexing (PDI) is a general-purpose distributed file
searching algorithm. It uses local broadcasting for content searching and sets up content indexes
on nodes along the reply path to guide subsequent searching.
2. Leveraging Social Networks P2P Content-Based File Sharing in Disconnected MANETs
GCLP is an advertisement-Based Methods for efficient content discovery in location-aware ad
hoc networks. It disseminates contents and requests in crossed directions to ensure their
encountering. P2PSI combines both advertisement (push) and discovery (pull) processes. It
adopts the idea of swarm intelligence by regarding shared files as food sources and routing tables
as pheromone.
DISADVANTAGES OF EXISTING SYSTEM:
The advertisement-based methods generate high overhead for advertising and
cannot guarantee the success of file searching due to node mobility.
The flooding-based methods produce high overhead due to broadcasting.
We propose a social network-based P2P content file sharing system in disconnected mobile ad
hoc Networks. The system uses an interest extraction algorithm to derive a node’s interests from
its files for content-based file searching.
We focus on the P2P file sharing in a disconnected MANET community consisting of mobile
users with social network properties. The disconnected MANETs are featured by sparse node
density and intermittent node connection, which makes the flooding based methods and
advertisement based methods infeasible in such networks. The proposed system considers both
node interest and contact frequency for efficient file sharing. For efficient file searching, the
proposed system groups common- interest nodes that frequently meet with each other as
communities.
ADVANTAGES OF PROPOSED SYSTEM:
The proposed system considers both node interest and contact frequency for efficient file
The proposed system takes advantage of node mobility by designating stable nodes
Strategies for file pre- fetching, querying-completion, and loop-prevention, and node
churn consideration are used to further enhance the file searching efficiency.
Contact: 9703109334, 9533694296
PROPOSED SYSTEM:
sharing.
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
3. Leveraging Social Networks P2P Content-Based File Sharing in Disconnected MANETs
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
4. Leveraging Social Networks P2P Content-Based File Sharing in Disconnected MANETs
SOFTWARE REQUIREMENTS:
Operating system : Windows XP/7.
Coding Language : C#.net
Tool : Visual Studio 2010
Database : SQL SERVER 2008
Kang Chen, Student Member, IEEE, Haiying Shen, Senior Member, IEEE, and Haibo Zhang.
”Leveraging Social Networks for P2P Content-Based File Sharing in Disconnected
MANETs”. IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 13, NO. 2,
FEBRUARY 2014
Contact: 9703109334, 9533694296
REFERENCE:
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
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