A Log Analysis Audit Model Based on Optimized Clustering Algorithm

Abstract

In view of the problem how to detect the network unknown attacks, a security log analysis audit model based on optimized clustering algorithm is proposed in this paper. Since the main question which influence the clustering algorithm application in the log analysis is uneasy to determine the network attack type and the cluster number, so we bring forward an optimized cluster algorithm to solve this problem. By means of simulated experiments, this algorithm is proved feasible, efficient and extensible for unknown intrusion detection.