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Hichem Sedjelmaci, Sidi Mohammed Senouci and Mohammed Feham An efficient intrusion detection framework in cluster-based wireless sensor networks Security and Communication Networks 6

Version of Record online: 30 JAN 2013 | DOI: 10.1002/sec.687

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In our framework, the intrusion detection process is carried out at three levels (i.e., cluster members, cluster head, and base station) to detect with a high accuracy these four well-known attacks: hello flood, selective forwarding, black hole, and wormhole attacks. According to the simulation results, our detection framework exhibits high detection rate (almost 100%), low number of false positives, less time to detect the attack, and less energy consumption.

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