By Ramesh Sharda

The college of Arizona synthetic Intelligence Lab (AI Lab) darkish internet undertaking is a long term clinical examine software that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric procedure. We objective to assemble "ALL" web pages generated through overseas terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, movies, digital international, and so on. we've got built a number of multilingual information mining, textual content mining, and internet mining thoughts to accomplish hyperlink research, content material research, net metrics (technical sophistication) research, sentiment research, authorship research, and video research in our examine. The techniques and strategies built during this venture give a contribution to advancing the sector of Intelligence and safety Informatics (ISI). S

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Extra resources for Dark Web: Exploring and Data Mining the Dark Side of the Web

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Domestic counterterrorism. As terrorists, both international and domestic, may be involved in local crimes, state and local law enforcement agencies are also contributing to the missions by investigating and prosecuting crimes. Terrorism, like gangs and narcotics trafficking, is regarded as a type of organized crime in which multiple offenders cooperate to carry out offenses. Information technologies that help find cooperative relationships between criminals and their interactive patterns would also be helpful for analyzing terrorism.

Zhang, S. Zeng, L. Fan, Y. Dang, C. Larson, and H. Chen, “Dark Web Forums Portal: Searching and Analyzing Jihadist Forums,” in Proceedings of the IEEE International Intelligence and Security Informatics Conference, Dallas, TX, June 2009. • H. Chen, “IEDs in the Dark Web: Lexicon Expansion and Genre Classification,” in Proceedings of the IEEE International Intelligence and Security Informatics Conference, Dallas, TX, June 2009. • T. Fu, C. Huang, and H. Chen, “Identification of Extremist Videos in Online Video Sharing Sites,” in Proceedings of the IEEE International Intelligence and Security Informatics Conference, Dallas, TX, June 2009.

Y. Zhou, E. Reid, J. Qin, G. Lai, and H. S. Domestic Extremist Groups on the Web: Link and Content Analysis,” IEEE Intelligent Systems, Special Issue on Artificial Intelligence for National and Homeland Security, Pages 44–51, September/October 2005. Conference Papers (Published): Dark Web research can also be found in past IEEE ISI and PAISI proceedings. 2010 • Y. Zhang, S. Zeng, C. Huang, L. Fan, X. Yu, Y. Dang, C. Larson, D. Denning, N. Roberts, and H. Chen, “Developing a Dark Web Collection and Infrastructure for Computational and Social Sciences,” Proceedings of the 2010 IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, Canada, May 2010.

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