Download Dark Web: Exploring and Data Mining the Dark Side of the Web by Hsinchun Chen PDF

By Hsinchun Chen

The college of Arizona synthetic Intelligence Lab (AI Lab) darkish internet undertaking is a long term medical learn application that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric technique. We objective to assemble "ALL" web pages generated by way of foreign terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, movies, digital global, and so forth. we've got constructed quite a few multilingual information mining, textual content mining, and net mining ideas 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 techniques constructed during this venture give a contribution to advancing the sector of Intelligence and safety Informatics (ISI). Such advances might help similar stakeholders to accomplish terrorism examine and facilitate overseas safety and peace.

This monograph goals to supply an summary of the darkish internet panorama, recommend a scientific, computational method of realizing the issues, and illustrate with chosen recommendations, equipment, and case reports built by means of the collage of Arizona AI Lab darkish net staff individuals. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish internet study alongside 3 dimensions: methodological concerns in darkish net study; database and computational thoughts to help details assortment and information mining; and criminal, social, privateness, and information confidentiality demanding situations and ways. it is going to carry priceless wisdom to scientists, safeguard execs, counterterrorism specialists, and coverage makers. The monograph may also function a reference fabric or textbook in graduate point classes with regards to details defense, details coverage, info insurance, details structures, terrorism, and public policy.

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

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Zhou, J. Qin, G. Lai, E. Reid and H. Chen, “Building Knowledge Management System for Researching Terrorist Groups on the Web,” Proceedings of the AIS Americas Conference on Information Systems (AMCIS 2005), Omaha, NE, USA, August 2005. • E. Reid and H. Chen. “Mapping the Contemporary Terrorism Research Domain: Researchers, Publications, and Institutions Analysis,” ISI Conference 2005, Atlanta, GA, May 2005. • H. Chen, “Applying Authorship Analysis to Arabic Web Content,” ISI Conference 2005, Atlanta, GA, May 2005.

Yang, B. Thuraisingham, and H. ), Proceedings of the 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, Dallas, Texas, June 2009. • H. Chen, C. Yang, M. Chau, and S. ), Intelligence and Security Informatics, Proceedings of the Pacific-Asia Workshop, PAISI 2009, Bangkok, Thailand, Lecture Notes in Computer Science (LNCS 5477), Springer-Verlag, 2009. • C. Yang, H. , “Intelligence and Security Informatics,” IEEE ISI 2008 International Workshops: PAISI, PACCF, and SOCO, Taipei, Taiwan, June 2008, Proceedings, Lecture Notes in Computer Science (LNCS 5075), Springer-Verlag, 2008.

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. • D. Zimbra and H. Chen, “Comparing the Virtual Linkage Intensity and Real World Proximity of Social Movements,” Proceedings of the 2010 IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, Canada, May 2010.

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