A bio-inspired jamming detection and restoration for WMNs: In view of adaptive immunology

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Abstract

The wireless mesh network is vulnerable to jamming attacks due to open share of physical medium. Since such attacks induce severe interferences resulting in denial of regular service, highly efficient detection and restoration methods are vital for a secure wireless mesh network. On the other hand, artificial immune mechanisms originated from the immunology are considerable methods to inspire design of an detection and restoration system. In this paper, we propose an immunological anti-jamming method as per the adaptive immune system of human beings to defeat the reactive jamming. The proposed method consists three function modules, i.e., the monitoring agent for monitoring the packet reception, the decision agent for detecting attacks and the recovery agent for restoring the network from the ongoing attacks. Simulation results show that the proposed method is effective to defeat the reactive jamming and to maintain considerable performance of the overall network. © Springer International Publishing Switzerland 2013.

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Liu, Q., Yin, J., & Yu, S. (2013). A bio-inspired jamming detection and restoration for WMNs: In view of adaptive immunology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8300 LNCS, pp. 243–257). https://doi.org/10.1007/978-3-319-03584-0_18

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