Analysis and Improvement Design on P2P Botnets Detection Framework

Developing the P2P botnets detection framework is crucial when we trying to fight against P2P botnets. Poor detection method can lead to a failure of P2P botnets detection. Thus, it needs to be accurately functioned well. This paper reviews and evaluates various current frameworks of P2P botnets det...

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Main Authors: Raihana Syahirah Abdullah, RS Abdullah, Mohd Faizal Abdollah, Faizal M.A., Zul Azri Muhamad Noh, ZAM Noh
Format: Article
Language:English
English
Published: Praise Worthy Prize 2013
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Online Access:http://eprints.utem.edu.my/id/eprint/13524/1/012-Raihana_def_14297_.pdf
http://eprints.utem.edu.my/id/eprint/13524/2/012-Raihana_def_14297_.pdf
http://eprints.utem.edu.my/id/eprint/13524/
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spelling my.utem.eprints.135242015-05-28T04:32:24Z http://eprints.utem.edu.my/id/eprint/13524/ Analysis and Improvement Design on P2P Botnets Detection Framework Raihana Syahirah Abdullah, RS Abdullah Mohd Faizal Abdollah, Faizal M.A. Zul Azri Muhamad Noh, ZAM Noh QA75 Electronic computers. Computer science Developing the P2P botnets detection framework is crucial when we trying to fight against P2P botnets. Poor detection method can lead to a failure of P2P botnets detection. Thus, it needs to be accurately functioned well. This paper reviews and evaluates various current frameworks of P2P botnets detection and analyzing the existing gaps to make improvement of P2P botnets detection framework. Based on a review that conducted manually, we report our findings and analysis has been done on different frameworks concern on P2P botnets detection. Consequently, the gap and motivations found from this reviews are discussed. Then, the P2P botnets detection framework architecture has been proposed with the new improvement been reinforced by hybrid detection technique, hybrid analyzer and in-depth hybrid analysis. Future directions of this review are to develop the P2P botnets detection system that has capability in high detection accuracy and efficiency. Praise Worthy Prize 2013-12 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13524/1/012-Raihana_def_14297_.pdf application/pdf en http://eprints.utem.edu.my/id/eprint/13524/2/012-Raihana_def_14297_.pdf Raihana Syahirah Abdullah, RS Abdullah and Mohd Faizal Abdollah, Faizal M.A. and Zul Azri Muhamad Noh, ZAM Noh (2013) Analysis and Improvement Design on P2P Botnets Detection Framework. International Review on Computers and Software (IRECOS) . pp. 2859-2867. ISSN 1828-6003
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Raihana Syahirah Abdullah, RS Abdullah
Mohd Faizal Abdollah, Faizal M.A.
Zul Azri Muhamad Noh, ZAM Noh
Analysis and Improvement Design on P2P Botnets Detection Framework
description Developing the P2P botnets detection framework is crucial when we trying to fight against P2P botnets. Poor detection method can lead to a failure of P2P botnets detection. Thus, it needs to be accurately functioned well. This paper reviews and evaluates various current frameworks of P2P botnets detection and analyzing the existing gaps to make improvement of P2P botnets detection framework. Based on a review that conducted manually, we report our findings and analysis has been done on different frameworks concern on P2P botnets detection. Consequently, the gap and motivations found from this reviews are discussed. Then, the P2P botnets detection framework architecture has been proposed with the new improvement been reinforced by hybrid detection technique, hybrid analyzer and in-depth hybrid analysis. Future directions of this review are to develop the P2P botnets detection system that has capability in high detection accuracy and efficiency.
format Article
author Raihana Syahirah Abdullah, RS Abdullah
Mohd Faizal Abdollah, Faizal M.A.
Zul Azri Muhamad Noh, ZAM Noh
author_facet Raihana Syahirah Abdullah, RS Abdullah
Mohd Faizal Abdollah, Faizal M.A.
Zul Azri Muhamad Noh, ZAM Noh
author_sort Raihana Syahirah Abdullah, RS Abdullah
title Analysis and Improvement Design on P2P Botnets Detection Framework
title_short Analysis and Improvement Design on P2P Botnets Detection Framework
title_full Analysis and Improvement Design on P2P Botnets Detection Framework
title_fullStr Analysis and Improvement Design on P2P Botnets Detection Framework
title_full_unstemmed Analysis and Improvement Design on P2P Botnets Detection Framework
title_sort analysis and improvement design on p2p botnets detection framework
publisher Praise Worthy Prize
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/13524/1/012-Raihana_def_14297_.pdf
http://eprints.utem.edu.my/id/eprint/13524/2/012-Raihana_def_14297_.pdf
http://eprints.utem.edu.my/id/eprint/13524/
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score 13.211869