Abstract
When sensor networks are deployed in hostile environments, an adversary may compromise some sensor nodes and use them to inject false sensing reports. False reports can lead to not only false alarms but also the depletion of limited energy resource in battery powered networks. The interleaved hop-by-hop authentication scheme detects such false reports through interleaved authentication. In this scheme, the choice of a security threshold value is important since it trades off security and overhead. In this paper, we propose a fuzzy logic-based adaptive threshold determining method for the interleaved authentication scheme. The fuzzy rule-based system is exploited to determine a security threshold value by considering the number of cluster nodes, the number of compromised nodes, and the energy level of nodes. The proposed method can conserve energy, while it provides sufficient resilience.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
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Lee, H.Y., Cho, T.H. (2006). Fuzzy-Based Adaptive Threshold Determining Method for the Interleaved Authentication in Sensor Networks. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_11
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DOI: https://doi.org/10.1007/11925231_11
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