PMDA: A malicious peer detection algorithm for P2P systems

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 at...

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Main Authors: Wei, Xianglin, Ahmed, Tarem, Chen, Ming, Pathan, Al-Sakib Khan
Format: Article
Language:English
Published: International Information Institute, Japan 2011
Subjects:
Online Access:http://irep.iium.edu.my/22264/1/PMDA-Sub1.pdf
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author Wei, Xianglin
Ahmed, Tarem
Chen, Ming
Pathan, Al-Sakib Khan
author_facet Wei, Xianglin
Ahmed, Tarem
Chen, Ming
Pathan, Al-Sakib Khan
author_sort Wei, Xianglin
collection IIUM
description 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.
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spelling oai:generic.eprints.org:222642012-07-30T01:45:31Z http://irep.iium.edu.my/22264/ PMDA: A malicious peer detection algorithm for P2P systems Wei, Xianglin Ahmed, Tarem Chen, Ming Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science QA76 Computer software 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. International Information Institute, Japan 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/22264/1/PMDA-Sub1.pdf 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) http://www.information-iii.org/information_journal.html
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Wei, Xianglin
Ahmed, Tarem
Chen, Ming
Pathan, Al-Sakib Khan
PMDA: A malicious peer detection algorithm for P2P systems
title PMDA: A malicious peer detection algorithm for P2P systems
title_full PMDA: A malicious peer detection algorithm for P2P systems
title_fullStr PMDA: A malicious peer detection algorithm for P2P systems
title_full_unstemmed PMDA: A malicious peer detection algorithm for P2P systems
title_short PMDA: A malicious peer detection algorithm for P2P systems
title_sort pmda a malicious peer detection algorithm for p2p systems
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://irep.iium.edu.my/22264/1/PMDA-Sub1.pdf
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AT ahmedtarem pmdaamaliciouspeerdetectionalgorithmforp2psystems
AT chenming pmdaamaliciouspeerdetectionalgorithmforp2psystems
AT pathanalsakibkhan pmdaamaliciouspeerdetectionalgorithmforp2psystems