Parallel clustering intrusion detection model based on protocol analysis
Wang Chuan-yu · Journal of Anhui University of Technology and Science · 2009
Fuzzy c-means(FCM) clusters extends from Hard c-means algorithm,which has improved the clusters' efficiency of HCM,but it increases Time Complexity.This paper presents a Parallel Clustering Intrusion Detection Model based on Protocol Analysis.A large data set is partitioned into several different sets.These different sets are carried on FCM clustering.Then their results are reused to implement FCM clustering.They constitute parallel system.Distributed intrusion detection is implemented using the combination of protocol analysis and high-speed data capture,which enhances intrusion detection velocity.