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- W3144397788 abstract "A key emerging and popular communication paradigm, primarily employed for information dissemination, is peer-to-peer (P2P) networking. In this paper, we model the spread of malware in decentralized, Gnutella type of peer-to-peer networks. Our study reveals that the existing bound on the spectral radius governing the possibility of an epidemic outbreak needs to be revised in the context of a P2P network. We formulate an analytical model that emulates the mechanics of a decentralized Gnutella type of peer network and study the spread of malware on such networks. We show analytically, that a framework which does not incorporate the behavioral characteristics of peers ends up over estimating the epidemic threshold metric, R <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> . This in turn results in false positives, an undesirable feature. We also characterize the conditions under which the network may reach a malware free equilibrium and validate our theoretical results with numerical simulations" @default.
- W3144397788 created "2021-04-13" @default.
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- W3144397788 date "2006-01-01" @default.
- W3144397788 modified "2023-09-23" @default.
- W3144397788 title "Modeling malware propagation in Gnutella type peer-to-peer networks" @default.
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- W3144397788 doi "https://doi.org/10.1109/ipdps.2006.1639704" @default.
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