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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Format: | Article |
Language: | English |
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International Information Institute, Japan
2011
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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. |
first_indexed | 2024-03-05T23:02:03Z |
format | Article |
id | oai:generic.eprints.org:22264 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-13T18:47:01Z |
publishDate | 2011 |
publisher | International Information Institute, Japan |
record_format | dspace |
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 |
work_keys_str_mv | AT weixianglin pmdaamaliciouspeerdetectionalgorithmforp2psystems AT ahmedtarem pmdaamaliciouspeerdetectionalgorithmforp2psystems AT chenming pmdaamaliciouspeerdetectionalgorithmforp2psystems AT pathanalsakibkhan pmdaamaliciouspeerdetectionalgorithmforp2psystems |