Using Stochastic Game Theory to Compute the Expected Behavior of Attackers
SAINT-W '05 Proceedings of the 2005 Symposium on Applications and the Internet Workshops
Passive Worm Propagation Modeling and Analysis
ICCGI '07 Proceedings of the International Multi-Conference on Computing in the Global Information Technology
Proceedings of the 2008 ACM symposium on Applied computing
On the Performance of Passive Worms over Unstructured P2P Networks
ICINIS '09 Proceedings of the 2009 Second International Conference on Intelligent Networks and Intelligent Systems
A novel passive worm defense model for multimedia sharing
Proceedings of the 2013 Research in Adaptive and Convergent Systems
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Passive worm, a huge hidden trouble to P2P applications, has drawn much attention because of its undetectable, destructive, and wide-ranging features. Existing propagation models for passive worm only noticed its similarity to biological viruses in propagation, ignored the impact of social attributes of P2P nodes on the spread of worms, such as trust relationship, network topology, security awareness and potential profit. Although these models were simple and efficient, they did not match the defense process of passive worm in dynamic environment. This paper proposes a defense model of passive worm in P2P networks. The contributions made in this paper include four aspects. First, we analyze the deficiency of current defense model of passive worm based on mean-field theory in P2P networks. Second, we build a node evaluation system based on trust relationship, by which the resource providers in P2P networks are determined. Third, we develop a defense model based on game theory. Fourth, we provide extensive numerical study and simulation experiments to the impact of some relevant model parameters on the defense of passive worm in P2P networks. The model presented in this paper is applicable for defending against passive worms in P2P networks.