AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks
Reputation and trust are dominant challenges in peer-to-peer (P2P) networks in general and peer-to-peer sensor network (P2PWSN) in particular. Numerous efforts have been devoted to developing reputation management systems that can alleviate the difficulties in finding trustworthy communication partn...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/637831 |
| _version_ | 1797709552050765824 |
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| author | Heba Kurdi Sarah Alnasser Munira Alhelal |
| author_facet | Heba Kurdi Sarah Alnasser Munira Alhelal |
| author_sort | Heba Kurdi |
| collection | DOAJ |
| description | Reputation and trust are dominant challenges in peer-to-peer (P2P) networks in general and peer-to-peer sensor network (P2PWSN) in particular. Numerous efforts have been devoted to developing reputation management systems that can alleviate the difficulties in finding trustworthy communication partners in P2P networks. There are two main approaches in this field: peer-based reputation systems and message-based reputation systems, each of which has its own advantages and limitations. In this paper, we propose a new reputation system for P2PWSN, AuthenticPeer, which utilizes techniques from both approaches in a way that maximizes their advantages and overcomes their limitations. The proposed system has been tested thoroughly in various simulated P2PWSN environments under various number of files and common threat models. Experimental results illustrate enhanced performance of AuthenticPeer reputation system when compared to two P2P reputation systems, EigenTrust and Incremental EigenTrust, in terms of success rate of good users and fraction of inauthentic downloads, specifically with the threat models: individual malicious, malicious collective, camouflaged collective, and malicious spies, regardless of the number of files in the networks. |
| first_indexed | 2024-03-12T06:39:07Z |
| format | Article |
| id | doaj.art-67106b9c13474058ad08845de89c0926 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:39:07Z |
| publishDate | 2015-11-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-67106b9c13474058ad08845de89c09262023-09-03T01:08:29ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/637831637831AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor NetworksHeba Kurdi0Sarah Alnasser1Munira Alhelal2 Computer Science Department, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia Computer Science Department, Al Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi Arabia Computer Science Department, Al Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaReputation and trust are dominant challenges in peer-to-peer (P2P) networks in general and peer-to-peer sensor network (P2PWSN) in particular. Numerous efforts have been devoted to developing reputation management systems that can alleviate the difficulties in finding trustworthy communication partners in P2P networks. There are two main approaches in this field: peer-based reputation systems and message-based reputation systems, each of which has its own advantages and limitations. In this paper, we propose a new reputation system for P2PWSN, AuthenticPeer, which utilizes techniques from both approaches in a way that maximizes their advantages and overcomes their limitations. The proposed system has been tested thoroughly in various simulated P2PWSN environments under various number of files and common threat models. Experimental results illustrate enhanced performance of AuthenticPeer reputation system when compared to two P2P reputation systems, EigenTrust and Incremental EigenTrust, in terms of success rate of good users and fraction of inauthentic downloads, specifically with the threat models: individual malicious, malicious collective, camouflaged collective, and malicious spies, regardless of the number of files in the networks.https://doi.org/10.1155/2015/637831 |
| spellingShingle | Heba Kurdi Sarah Alnasser Munira Alhelal AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks |
| title_full | AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks |
| title_fullStr | AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks |
| title_full_unstemmed | AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks |
| title_short | AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks |
| title_sort | authenticpeer a reputation management system for peer to peer wireless sensor networks |
| url | https://doi.org/10.1155/2015/637831 |
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