Dark web forums portal: searching and analyzing Jihadist forums
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Anomaly detection in extremist web forums using a dynamical systems approach
ACM SIGKDD Workshop on Intelligence and Security Informatics
Using lexicometry and vocabulary analysis techniques to detect a signature for web profile
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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While the Web has become a worldwide platform for communication, terrorists share their ideology and communicate with members on the “Dark Web”—the reverse side of the Web used by terrorists. Currently, the problems of information overload and difficulty to obtain a comprehensive picture of terrorist activities hinder effective and efficient analysis of terrorist information on the Web. To improve understanding of terrorist activities, we have developed a novel methodology for collecting and analyzing Dark Web information. The methodology incorporates information collection, analysis, and visualization techniques, and exploits various Web information sources. We applied it to collecting and analyzing information of 39 Jihad Web sites and developed visualization of their site contents, relationships, and activity levels. An expert evaluation showed that the methodology is very useful and promising, having a high potential to assist in investigation and understanding of terrorist activities by producing results that could potentially help guide both policymaking and intelligence research. © 2008 Wiley Periodicals, Inc.