The implementation of terrorist web miner for the terrorist network

Abstract

Terrorist web information is very valuable for Law enforcement agencies. This type of information is available on World Wide Web but is in fragments. These fragments of information are to be collected and analyzed for the terrorist network mining. This process when done manually may result into inefficient and error prone mining of data. Hence during this study the attempt is made to automate this difficult task of collecting, classifying and analysis of the terrorist web data. Developed Terrorist Web Miner will search terrorist information available on World Wide Web, it will fetch all the web pages related to terrorist web data and will extract the useful links. These links are stored into databases for future reference. This system can replace the manual system for collecting terrorist web data. The web pages related to terrorist attacks can be used in future to extract the links between terrorist organizations and hence a communication pattern, linkage patterns, role and relationship analysis can be derived for terrorist networks.