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 of terrorists by applying a data mining algorithm to the te

nessus document describing working of nessus vulnerability scanner using audit policies performing credential scans