A reputation management system in structured peer-to-peer networks

Lee, So Young; Kwon, O-Hoon; Kim, Jong; Hong, Sung Je

doi:10.1109/wetice.2005.9

Cited by 14 publications

(4 citation statements)

References 11 publications

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“…For future work, we intend to extend and improve the AuthenticPeer system in the following directions: Considering more threat models such as selfish peers and denial-of-service attack. Reordering the main steps of the algorithm to start by checking the quality of the peer and then quality of the message. This is expected to remarkably improve the performance. Enhancing the message reputation manager by considering an algorithm other than [21] as a baseline. Enhancing the peer reputation manager by considering an algorithm other than [16] as a baseline, specifically the Incremental EigenTrust as it has shown better performance. …”

Section: Discussionmentioning

confidence: 99%

“…The amount of work available on message-based reputation systems is less than that on peer-based reputation systems. Reviewing has revealed only the two systems proposed in [21, 22]. In [21], the reputation management system in a structured P2P network is proposed to prevent inauthentic message distribution and download.…”

Section: Related Workmentioning

confidence: 99%

“…Reviewing has revealed only the two systems proposed in [21, 22]. In [21], the reputation management system in a structured P2P network is proposed to prevent inauthentic message distribution and download. Seeing that malicious peers may change their identities if the system catches them, this paper suggests depending on message-based reputation information instead.…”

Section: Related Workmentioning

confidence: 99%

“…Following the same approach of [21], the message reputation is judged based on the following condition: where positive is the number of evaluations that consider the message trustworthy, negative is the number of evaluations that consider the message untrustworthy, T is the threshold of the minimum number of message evaluations. …”

Section: System Architecturementioning

confidence: 99%

See 3 more Smart Citations

AuthenticPeer: A Reputation Management System for Peer-to-Peer Wireless Sensor Networks

Kurdi

Alnasser

Alhelal

2015

International Journal of Distributed Sensor Networks

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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.

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