The Application of Cluster Analysis to Intrusion Detection System
Deyuan Gao · Microelectronics & Computer · 2005
Intrusion Detection System (IDS) is an important part of the computer network security. According to the analysis of two intrusion detection models, this paper presents a clustering based method for unsupervised anomaly detection, and does some experiments using the KDD99 cup dataset. This method is proved to be with high performances by the results.