DocumentCode
2894743
Title
Breaking Monocultures in P2P Networks for Worm Prevention
Author
Zhou, Ying ; Wu, Zhong-Fu ; Wang, Hao ; Zhong, Jiang ; Feng, Yong ; Zhu, Zheng-zhou
Author_Institution
Coll. of Comput. Sci., Chongqing Univ.
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
2793
Lastpage
2798
Abstract
Peer-to-peer (P2P) worm has become an interesting research topic during recent years. It is widely believed that the monoculture of P2P systems results in fast worm propagation in P2P networks and software diversity can decrease the virulence of worms and the effectiveness of repeated applications of single attacks. In order to break monocultures in P2P networks, we propose a P2P-based software diversity model and conduct both theoretical analysis and extensive simulations to test the performance of software diversity in containing P2P worm propagation. We find that our proposed software diversity model can efficiently improve the performance of worm prevention in P2P networks
Keywords
invasive software; peer-to-peer computing; P2P networks; P2P-based software diversity model; peer-to-peer monoculture; worm prevention; Application software; Biological system modeling; Computer science; Computer worms; Cybernetics; Diseases; Educational institutions; Intelligent networks; Machine learning; Operating systems; Peer to peer computing; Performance analysis; Software performance; Peer-to-peer network; monocultures; peer-to-peer worm; software diversity; worm propagation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.259000
Filename
4028536
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