DocumentCode
3006800
Title
Evolutionary Proactive P2P Worm: Propagation Modeling and Simulation
Author
Zhang, Yejiang ; Li, Zhitang ; Hu, Zhengbing ; Huang, Qingfeng ; Lu, Chuiwei
Author_Institution
Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
fYear
2008
fDate
25-26 Sept. 2008
Firstpage
261
Lastpage
264
Abstract
Computer worms evolved continually, faster and smarter. Proactive P2P worms with new "gene" propagate over logical P2P overlay networks defined by peer relationship. Observations suggest that the node degrees of an unstructured P2P network are power law distributed thus we model it as a power law undirected graph. We study propagation process of proactive P2P worm using a dynamic epidemic model. Specifically, we adopt discrete-time to conduct recursive analysis and deterministic approximation to describe propagation of proactive P2P worm. Then we carry out extensive simulation studies, which prove that the mathematical model matches simulation results well.
Keywords
evolutionary computation; graph theory; invasive software; peer-to-peer computing; telecommunication security; P2P overlay network; computer worms; deterministic approximation; dynamic epidemic model; evolutionary proactive P2P worm; power law undirected graph; recursive analysis; Computational modeling; Computer science; Computer simulation; Computer worms; Educational institutions; Genetics; Mathematical model; Peer to peer computing; Power generation; Routing; Invasive software; Modeling methodologies; Peer-to-Peer; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3334-6
Type
conf
DOI
10.1109/WGEC.2008.75
Filename
4637440
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