Modeling and performance analysis of BitTorrent-like peer-to-peer networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
A first look at peer-to-peer worms: threats and defenses
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Botnets for scalable management
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Modeling and Defending against Adaptive BitTorrent Worms in Peer-to-Peer Networks
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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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, R0. 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.