Using data mining techniques for detecting terror-related activities on the web

Y Elovici, A K, el, M Last, B Shapira, O Zaafrany

Journal of Information Warfare 3 (1), 17-28, 2004

An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit information is presented. The proposed methodology learns the typical behavior (‘profile’) of terrorists by applying a data mining algorithm to the textual content of terror-related Web sites. The resulting profile is used by the system to perform real-time detection of users suspected of being engaged in terrorist activities. The Receiver-Operator Characteristic (ROC) analysis shows that this methodology can outperform a command-based intrusion detection system.