Abstract
Sensor networks are often deployed in hostile environments, thus leaving these networks vulnerable to false data injection attacks in which adversaries inject forged reports into the network through compromised nodes, with the goal of deceiving the base station or depleting the limited energy resources of forwarding nodes. The commutative cipher based en-route filtering scheme was proposed to detect and drop such forged reports during the forwarding process. In this scheme, the choice of a security parameter represents a trade-off between detection capability and overhead. In this paper, we propose a fuzzy based adaptive parameter determining method in which the security parameter is adaptively determined by a fuzzy rule based system. False traffic ratio, distance, and energy level are used to determine the security parameter. The effectiveness of the proposed method against false data injection attacks is shown by the simulation results.
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 Advancement). (IITA-2006-C1090-0603-0028).
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Lee, H.Y., Cho, T.H. (2007). Fuzzy Security Parameter Determining Method for the Commutative Cipher Based Filtering in Sensor Networks. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74477-1_53
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DOI: https://doi.org/10.1007/978-3-540-74477-1_53
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