By Ramesh Sharda
The college of Arizona man made Intelligence Lab (AI Lab) darkish net venture is a long term medical study application that goals to check and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric procedure. We goal to assemble "ALL" web pages generated via overseas terrorist teams, together with websites, boards, chat rooms, blogs, social networking websites, movies, digital international, and so forth. we've got built quite a few multilingual information mining, textual content mining, and internet mining innovations to accomplish hyperlink research, content material research, internet metrics (technical sophistication) research, sentiment research, authorship research, and video research in our examine. The methods and strategies constructed during this venture give a contribution to advancing the sphere of Intelligence and safety Informatics (ISI). S
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Additional info for Dark Web: Exploring and Data Mining the Dark Side of the Web
26, No. 3, Article 12, June 2008. • A. Abbasi and H. Chen, “Writeprints: A Stylometric Approach to Identity-Level Identification and Similarity Detection in Cyberspace,” ACM Transactions on Information Systems, Vol. 26, No. 2, Article 7, March 2008. 2007 • E. Reid and H. Chen, “Mapping the Contemporary Terrorism Research Domain,” International Journal of Human-Computer Studies, 65, Pages 42–56, 2007. • J. Qin, Y. Zhou, E. Reid, G. Lai, and H. Chen, “Analyzing Terror Campaigns on the Internet: Technical Sophistication, Content Richness, and Web Interactivity,” International Journal of Human-Computer Studies, 65, Pages 71–84, 2007.
To avoid being preempted by authorities, they may hide their true identities and disguise attack-related activities. Similarly, criminals may use falsified identities during police contacts (Wang et al. 2004a). Although it is difficult, detecting potential terrorist attacks or crimes is possible and feasible with the help of information technology. , terrorist networks), detecting deceptive identities, or employing other surveillance and monitoring techniques, intelligence and warning systems may issue timely, critical alerts and warnings to prevent attacks or crimes from occurring.
Xi, G. Lai, A. Bonillas, and M. , October 2004. • E. Reid, J. Qin, W. Chung, J. Xu, Y. Zhou, R. Schumaker, M. Sageman, and H. Chen, “Terrorism Knowledge Discovery Project: A Knowledge Discovery Approach to Addressing the Threats of Terrorism,” Proceedings of the Second Symposium on Intelligence and Security Informatics, Tucson, AZ, June 2004, pp. 125–145. 2003 • H. Chen, “The Terrorism Knowledge Portal: Advanced Methodologies for Collecting and Analyzing Information from the Dark Web and Terrorism Research Resources,” Presented at the Sandia National Laboratories, August 14, 2003.
Dark Web: Exploring and Data Mining the Dark Side of the Web by Ramesh Sharda