A Detection Method for Routing Attacks of Wireless Sensor Network Based on Fuzzy C-means Clustering
Tong Wang, Zhe Liang, Kai Zhao · 2009
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 bnormal 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 impirical evidence shows its efficiency and stability.