Optimal Quarantining of Wireless Malware Through Power Control
Source: University of Pennsylvania
The topic of malware propagation in mobile wireless networks is gaining momentum among the research community, as actual vulnerabilities are revealed through recent outbreaks of worms. The paper introduces a defense strategy that quarantines the malware by reducing the communication range. This countermeasure faces one to a trade-off: reducing the communication range suppresses the spread of the malware, however, it also negatively affects the performance of the network as the end-to-end communication delay increases. The paper models the propagation of the malware as a deterministic epidemic. Using an optimal control framework, the author selects the optimal communication range that captures the above trade-off by minimizing a global cost function.