Yuan Fan: Advance SQL Injection Detection by Join Force of Database Auditing and Anomaly Intrusion Detection

This topic will present the proposal/idea/work from the author's master graduate project about effective detection of SQL Injection exploits while lowering the number of false positives. It gives detail analysis example of how database auditing could help this case, and also presents the challenge with anomaly detection for this attack and how the author tried to solve them. Finally a correlation between the two will be presented. Yuan Fan, CISSP, has worked in the network security area for more than 7 years. He currently works for ArcSight as a Software Engineer. He holds a Master of Computer Engineering degree from San Jose State University. The tool he is writing for master graduate research project related to this topic is a Java-based, multilayer anomaly intrusion detection system.