关键词: 无线传感器网络, 入侵检测, 主成分分析法, 模糊聚类分析法, 特征值, 特征提取

Abstract: Wireless Sensor Networks（WSN） has disadvantages of energy limited, computing power  limited and vulnerable to attacks, so it proposes an intrusion detection system based on PCA and fuzzy cluster analysis. It extracts the characteristic values from PCA from the original attacking data and combines with the fuzzy clustering algorithm to analyze and classify the test data. It chooses VC++6.0, MATLAB R2010b and NS2 simulation platforms, assesses the detection rate, error rate performance of the program. The simulation results show that the program reduces the data dimension effectively, optimizes the characteristics of space by exacting the characteristic values from the known attacking types of training sets, and combines with the fuzzy clustering analysis method to improve the accuracy of the classification algorithm.

Key words: Wireless Sensor Network（WSN）, intrusion detection, Principal Component Analysis（PCA）, fuzzy clustering, characteristic values, feature extraction