Mini Project ( 5th Sem )

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

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.