SMART: a subspace based malicious peers detection algorithm for P2P systems

In recent years, reputation management schemes have been proposed as promising solutions to alleviate the blindness during peer selection in distributed P2P environment where malicious peers coexist with honest ones. They indeed provide incentives for peers to contribute more resources to the system...

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Main Authors:	Wei, Xianglin, Fan, Jianhua, Chen, Ming, Ahmed, Tarem, Pathan, Al-Sakib Khan
Format:	Article
Language:	English
Published:	KUST Press, Pakistan 2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/25387/ http://irep.iium.edu.my/25387/ http://irep.iium.edu.my/25387/1/199-527-1-SM-revised_accepted.pdf

id	iium-25387
recordtype	eprints
spelling	iium-253872013-05-22T12:41:56Z http://irep.iium.edu.my/25387/ SMART: a subspace based malicious peers detection algorithm for P2P systems Wei, Xianglin Fan, Jianhua Chen, Ming Ahmed, Tarem Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science In recent years, reputation management schemes have been proposed as promising solutions to alleviate the blindness during peer selection in distributed P2P environment where malicious peers coexist with honest ones. They indeed provide incentives for peers to contribute more resources to the system and thus promote the whole system performance. But few of them have been implemented practically since they still suffer from various security threats, such as collusion, Sybil attack and so on. Therefore, how to detect malicious peers plays a critical role in the successful work of these mechanisms, and it will also be our focus in this paper. Firstly, we define malicious peers and show their influence on the system performance. Secondly, based on Multiscale Principal Component Analysis (MSPCA) and control chart, a Subspace based MAlicious peeRs deTecting algorithm (SMART) is brought forward. SMART first reconstructs the original reputation matrix based on subspace method, and then finds malicious peers out based on Shewhart control chart. Finally, simulation results indicate that SMART can detect malicious peers efficiently and accurately. KUST Press, Pakistan 2013-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25387/1/199-527-1-SM-revised_accepted.pdf Wei, Xianglin and Fan, Jianhua and Chen, Ming and Ahmed, Tarem and Pathan, Al-Sakib Khan (2013) SMART: a subspace based malicious peers detection algorithm for P2P systems. International Journal of Communication Networks and Information Security (IJCNIS). ISSN ISSN: 2076-0930 (Print), ISSN: 2073-607X (Online) (In Press) http://www.ijcnis.org
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
spellingShingle	QA75 Electronic computers. Computer science Wei, Xianglin Fan, Jianhua Chen, Ming Ahmed, Tarem Pathan, Al-Sakib Khan SMART: a subspace based malicious peers detection algorithm for P2P systems
description	In recent years, reputation management schemes have been proposed as promising solutions to alleviate the blindness during peer selection in distributed P2P environment where malicious peers coexist with honest ones. They indeed provide incentives for peers to contribute more resources to the system and thus promote the whole system performance. But few of them have been implemented practically since they still suffer from various security threats, such as collusion, Sybil attack and so on. Therefore, how to detect malicious peers plays a critical role in the successful work of these mechanisms, and it will also be our focus in this paper. Firstly, we define malicious peers and show their influence on the system performance. Secondly, based on Multiscale Principal Component Analysis (MSPCA) and control chart, a Subspace based MAlicious peeRs deTecting algorithm (SMART) is brought forward. SMART first reconstructs the original reputation matrix based on subspace method, and then finds malicious peers out based on Shewhart control chart. Finally, simulation results indicate that SMART can detect malicious peers efficiently and accurately.
format	Article
author	Wei, Xianglin Fan, Jianhua Chen, Ming Ahmed, Tarem Pathan, Al-Sakib Khan
author_facet	Wei, Xianglin Fan, Jianhua Chen, Ming Ahmed, Tarem Pathan, Al-Sakib Khan
author_sort	Wei, Xianglin
title	SMART: a subspace based malicious peers detection algorithm for P2P systems
title_short	SMART: a subspace based malicious peers detection algorithm for P2P systems
title_full	SMART: a subspace based malicious peers detection algorithm for P2P systems
title_fullStr	SMART: a subspace based malicious peers detection algorithm for P2P systems
title_full_unstemmed	SMART: a subspace based malicious peers detection algorithm for P2P systems
title_sort	smart: a subspace based malicious peers detection algorithm for p2p systems
publisher	KUST Press, Pakistan
publishDate	2013
url	http://irep.iium.edu.my/25387/ http://irep.iium.edu.my/25387/ http://irep.iium.edu.my/25387/1/199-527-1-SM-revised_accepted.pdf
first_indexed	2023-09-18T20:37:54Z
last_indexed	2023-09-18T20:37:54Z
_version_	1777409169754685440

SMART: a subspace based malicious peers detection algorithm for P2P systems

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