PMDA: A malicious peer detection algorithm for P2P systems

Wei, Xianglin and Ahmed, Tarem and Chen, Ming and Pathan, Al-Sakib Khan (2011) PMDA: A malicious peer detection algorithm for P2P systems. INFORMATION JOURNAL. ISSN ISSN 1343-4500 (print), ISSN 1344-8994 (electronic) (In Press)

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Abstract

Many reputation management schemes have been introduced to assist peers in choosing trustworthy collaborators in P2P environments where honest peers coexist with malicious ones. These schemes indeed provide some useful information about the reliability of peers, but they still suffer from various attacks including slandering, collusion, etc. Consequently, it is crucial to be able to detect malicious peers. This is our focus in this paper. We first divide malicious peers into several categories, and then introduce Principal direction divisive partitioning based Malicious peer Detection Algorithm (PMDA) to identify them. Finally, we experimentally demonstrate that PMDA can efficiently and accurately detect malicious peers and hence improve the performance of the system.

Item Type:	Article (Journal)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	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:	30 Jul 2012 09:45
Last Modified:	30 Jul 2012 09:45
URI:	http://irep.iium.edu.my/id/eprint/22264

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