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PeerMate: a malicious peer detection algorithm for P2P systems based on MSPCA

Wei, Xianglin and Ahmed, Tarem and Chen, Ming and Pathan, Al-Sakib Khan (2012) PeerMate: a malicious peer detection algorithm for P2P systems based on MSPCA. In: International Conference on Computing, Networking and Communications (IEEE ICNC 2012), January 30 - February 2, 2012, Maui, Hawaii, USA.

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Abstract

Many reputation management schemes have been introduced to assist peers to choose the most trustworthy collaborators in P2P environment where honest peers coexist with malicious ones. These schemes indeed provide some useful information about the reliability of peers, but still suffer from various attacks including slandering, collusion and so on. Consequently, how to detect malicious peers plays a critical role in successful work of these mechanisms, and it will also be our focus in this paper. Firstly, we divide the malicious peers into six categories; secondly, we bring forward PeerMate, a malicious peers detection algorithm based on Multiscale Principal Component Analysis (MSPCA) and Quality of Reconstruction (QR), to detect malicious peers in reputation based P2P systems; finally, we show through simulations that PeerMate can detect malicious peers efficiently and accurately.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6481/6015 (E-ISBN)978-1-4673-0723-9 (Print ISBN)978-1-4673-0008-7, DOI: 10.1109/ICCNC.2012.6167537
Uncontrolled Keywords: Component; P2P, MSPCA
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Dr. Al-Sakib Khan Pathan
Date Deposited: 21 Nov 2011 12:13
Last Modified: 23 Jul 2012 09:49
URI: http://irep.iium.edu.my/id/eprint/6015

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