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:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/22264/ http://irep.iium.edu.my/22264/ http://irep.iium.edu.my/22264/1/PMDA-Sub1.pdf

id	iium-22264
recordtype	eprints
spelling	iium-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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
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
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.
format	Article
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
title	PMDA: A malicious peer detection algorithm for P2P systems
title_short	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_sort	pmda: a malicious peer detection algorithm for p2p systems
publisher	International Information Institute, Japan
publishDate	2011
url	http://irep.iium.edu.my/22264/ http://irep.iium.edu.my/22264/ http://irep.iium.edu.my/22264/1/PMDA-Sub1.pdf
first_indexed	2023-09-18T20:33:59Z
last_indexed	2023-09-18T20:33:59Z
_version_	1777408923292139520

PMDA: A malicious peer detection algorithm for P2P systems

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