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A Detection Method for Routing Attacks of Wireless Sensor Network Based on Fuzzy C-means Clustering

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3 Author(s)
Tong Wang ; Dep.Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China ; Zhe Liang ; Chun-Hui Zhao

Security is a critical challenge for creating robust and reliable sensor networks. For the particularity and security threats of wireless sensor networks, we proposed an anomaly detection method based on Fuzzy C-means Clustering (FCM) to detect routing attacks caused by abnormal flows in this paper. This paper analyzes the datas from network connections through the Fuzzy C-means Clustering methods to detect routing attacks, and the empirical evidence shows its efficiency and stability.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:3 )

Date of Conference:

14-16 Aug. 2009