Fuzzy logic anomaly detection scheme for directed diffusion based sensor networks

Authors:
Sang Hoon Chi;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:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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Abstract

The wireless sensor network is rapidly emerging as an important tool for various applications. In this network, where a large subset of the network applications monitors and protects critical infrastructures, security is a particularly important issue. However, ensuring the security in the sensor network is complicated due to limited energy resources. In this paper, a fuzzy logic based anomaly detection scheme which provides the security to the directed diffusion protocol is proposed. The scheme is effective in preventing Denial-of-Service type attacks, which drain the energy resources within the nodes. Fuzzy logic is exploited in order to obtain a high detection rate by considering factors such as the node energy level, neighbor nodes list, message transmission rate, and error rate in the transmission.