Fuzzy-Based adaptive threshold determining method for the interleaved authentication in sensor networks

  • Authors:
  • Hae Young Lee;Tae Ho Cho

  • Affiliations:
  • School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea

  • Venue:
  • MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
  • Year:
  • 2006

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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.