Abstract
The roots of terrorism grow deeply in some parts of the world. Terrorist groups use the Internet as their infrastructure for different purposes that might lead to the formation of new local cells in the terrorist network. These local cells later become active and perform acts of terror. This project tracks down online access to abnormal content that may contain terrorist-generated sites by using the k-means clustering algorithm as a tool to identify and prevent terrorism. The terror tracking system we propose is designed to analyse the content of information accessed by Internet users. This system supports Arabic content.