SOM-based anomaly intrusion detection system

Abstract

In this paper, a SOM-based anomaly intrusion detection system is proposed, which can contract high-dimension data to lower, meanwhile keeping the primary relationship between clustering and topology, During the experiment, the theory of SOM is used to train three SOMs on the layers of system, process and network. Although our experiment environment is simpler than the real one, the result shows that it has its reference value for us to build intelligent IDSs. Through the analysis of the monitoring results on the three layers from the hacking tools (NMAP, HYDRA), it is suggested that the approach of detecting and the parameters chosen be correct and effective. © IFIP International Federation for Information Processing 2007.