Provided by:
International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic:
Data Management
Format:
PDF
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.
