| Publisher | University of South Florida | ||
|---|---|---|---|
| Format | 221.5KB PDF | Date added | 30 May 2004 |
| Topics | Data Mining - Analysis | ||
| Downloads | 99 | ||
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.
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