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
Link To Document :
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