Abstract
To overcome the lack of available spectrum in wireless communications, the Cognitive Radio Networks arise. But this new technology also brings new threats to the whole network, especially the lion attack. Concerned with the weakness of the existing intrusion detection systems in Cognitive Radio Networks, we propose a dynamic intrusion detection mechanism on basis of smart agents with the utility of Markov chain model. And simulation results verify the efficiency of our mechanism.
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Lichuan, M., Ying, M., Qingqi, P. (2014). A Dynamic Intrusion Detection Mechanism Based on Smart Agents in Distributed Cognitive Radio Networks. In: Pan, JS., Krömer, P., Snášel, V. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-319-01796-9_30
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DOI: https://doi.org/10.1007/978-3-319-01796-9_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01795-2
Online ISBN: 978-3-319-01796-9
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