Applying Data Mining Techniques in Intrusion Detection System on Web and Analysis of Web Usage

This research concentrates on a particular aspect, which is to detect the intrusion on the web by applying Data Mining Technique especially by association analysis algorithm on the web log files. This algorithm depends on the facts that define the intrusion. As known the association algorithm first extracted the large itemsets that represent the super facts to build the association analysis for the intrusion. After building the intrusion detection scheme, all the transaction presented in the intrusion was deleted. Analysis the web log data file was again analyzed for the web usage, to study the visitor tracking without tracking the intruder visitors. According to this study the server configurations and all the services were improved.