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In this paper, the spreading of malicious software over ad hoc networks, where legitimate nodes are prone to propagate the infections they receive from either an attacker or their already infected neighbors, is analyzed. Considering the Susceptible-Infected-Susceptible (SIS) node infection paradigm they propose a probabilistic model, based on the theory of closed queueing networks that aims at describing the aggregated behavior of the system when attacked by malicious nodes. Due to its nature, the model is able to deal more effectively with the stochastic behavior of attackers and the inherent probabilistic nature of the wireless environment. This paper describes accurately the asymptotic behavior of malware-propagative large scale ad hoc networking environments.

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Format:PDFSize:386 KB
Date:Oct 2007
Pages:19

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