The model and algorithm of automatic data-mining of network intrusion characteristics

The paper is focused on the study of the automatic data mining of network intrusion features, its modeling and consequently provides the optimized solving algorithm. The effectiveness of the model and algorithm is tested through the feature data mining of the attack which exploits the IIS (Internet Information Server) vulnerabilities.