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An Optimal Distributed Malware Defense System for Mobile Networks with Heterogeneous Devices
Citation key LHJSZ-ODMDSMNHD-11
Author Li, Yong and Hui, Pan and Jin, Depeng and Su, Li and Zeng, Lieguang
Title of Book Proceedings of 8th IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON '11)
Pages 314–322
Year 2011
ISBN 978-1-4577-0094-1
ISSN 2155-5486
DOI http://dx.doi.org/10.1109/SAHCN.2011.5984913
Location Salt Lake City, UT, USA
Address New York, NY, USA
Month June
Publisher IEEE
Abstract As malware attacks become more frequent in mobile networks, deploying an efficient defense system to protect against infection and to help the infected nodes to recover is important to contain serious spreading and outbreaks. The technical challenges are that mobile devices are heterogeneous in terms of operating systems, and the malware can infect the targeted system in any opportunistic fashion via local and global connectivity, while the to-be-deployed defense system on the other hand would be usually resource limited. In this paper, we investigate the problem of optimal distribution of content-based signatures of malware to minimize the number of infected nodes, which can help to detect the corresponding malware and to disable further propagation. We model the defense system with realistic assumptions addressing all the above challenges, which have not been addressed in previous analytical work. Based on the proposed framework of optimizing the system welfare utility through the signature allocation, we provide an encounter-based distributed algorithm based on Metropolis sampler. Through extensive simulations with both synthetic and real mobility traces, we show that the distributed algorithm achieves the optimal solution, and performs efficiently in realistic environments.
Link to publication [2] Download Bibtex entry [3]
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