A detection method for routing attacks of wireless sensor network based on fuzzy C-means clustering

Authors:
Tong Wang;Zhe Liang;Chun-hui Zhao
Affiliations:
Dep. Information and Communication Engineering, Harbin Engineering University, Harbin, China;Dep. Information and Communication Engineering, Harbin Engineering University, Harbin, China;Dep. Information and Communication Engineering, Harbin Engineering University, Harbin, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

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Abstract

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.