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Issue No. 11 - Nov. (2013 vol. 12)
ISSN: 1536-1233
pp: 2219-2232
Yongkun Li , The Chinese University of Hong Kong, Hong Kong
John C.S. Lui , The Chinese University of Hong Kong, Hong Kong
Epidemic attack is a severe security problem in network-coding-enabled wireless mesh networks (WMNs). Malicious nodes can easily launch such form of attack to create an epidemic spreading of polluted packets and deplete network resources. The contribution of this work is to address such security problem. We allow the presence of "smartâ attackers, i.e., they can pretend to be legitimate nodes to probabilistically transmit valid packets so as to reduce the chance of being detected. We also address the case where attackers cooperatively inject polluted packets. We employ the time-based checksum and batch verification to determine the existence of polluted packets, then propose a set of fully "distributedâ and "randomizedâ detection algorithms so that each legitimate node in a WMN can identify its malicious neighbors and purge them for future communication. We provide formal analysis to quantify the performance of the algorithms. Furthermore, simulation and system prototyping are carried out to validate the theoretic analysis and show the effectiveness and efficiency of the detection algorithms.
Detection algorithms, Network coding, Routing protocols, Pollution, Encoding, Wireless mesh networks, Throughput,performance evaluation, Pollution attack, wireless mesh networks, network coding
Yongkun Li, John C.S. Lui, "Epidemic Attacks in Network-Coding-Enabled Wireless Mesh Networks: Detection, Identification, and Evaluation", IEEE Transactions on Mobile Computing, vol. 12, no. , pp. 2219-2232, Nov. 2013, doi:10.1109/TMC.2012.186
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