By Hsinchun Chen
The college of Arizona man made Intelligence Lab (AI Lab) darkish internet venture is a long term clinical study software that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric procedure. We target to assemble "ALL" web pages generated by way of overseas terrorist teams, together with websites, boards, chat rooms, blogs, social networking websites, video clips, digital global, and so forth. we have now built numerous multilingual information mining, textual content mining, and internet mining recommendations to accomplish hyperlink research, content material research, internet metrics (technical sophistication) research, sentiment research, authorship research, and video research in our examine. The ways and strategies built during this venture give a contribution to advancing the sector of Intelligence and safeguard Informatics (ISI). Such advances can help comparable stakeholders to accomplish terrorism learn and facilitate foreign safeguard and peace.
This monograph goals to supply an summary of the darkish internet panorama, recommend a scientific, computational method of figuring out the issues, and illustrate with chosen suggestions, tools, and case experiences constructed by way of the college of Arizona AI Lab darkish net group individuals. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net examine alongside 3 dimensions: methodological concerns in darkish net examine; database and computational innovations to help info assortment and information mining; and felony, social, privateness, and knowledge confidentiality demanding situations and techniques. it is going to carry valuable wisdom to scientists, safeguard pros, counterterrorism specialists, and coverage makers. The monograph may also function a reference fabric or textbook in graduate point classes relating to info defense, details coverage, info insurance, details platforms, terrorism, and public policy.
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Extra resources for Dark Web: Exploring and Data Mining the Dark Side of the Web
Zeng, H. Chen, H. Rolka, and B. ), Biosurveillance and BioSecurity, International Workshop, BioSecure 2008, Springer-Verlag, December 2008. • H. Chen and C. ), Intelligence and Security Informatics: Techniques and Applications, Springer, 2008. • H. Chen, E. Reid, J. Sinai, A. Silke, and B. ), Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security, Springer, 2008. • H. Chen, T. S. Raghu, R. Ramesh, A. Vinze, and D. ), Handbooks in Information Systems – National Security, Elsevier Scientific, 2007.
Madhusudan, C. Demchak, and J. ), Intelligence and Security Informatics, Proceedings of the First NSF/NIJ Symposium on Intelligence and Security Informatics, ISI 2003, Lecture Notes in Computer Science (LNCS 2665), Springer-Verlag, 2003. Journal Articles (Published and Forthcoming): Selected Dark Web research has been published in major, SCI-indexed IT journals. 2010 • D. Zimbra, A. Abbasi, and H. Chen, “A Cyber-archeology Approach to Social Movement Research: Framework and Case Study,” Journal of ComputerMediated Communication, forthcoming, 2010.
T. J. Fu, A. Abbasi, and H. Chen, “A Focused Crawler for Dark Web Forums,” Journal of the American Society for Information Science and Technology, Volume 61, Number 6, Pages 1213–1231, 2010. 2009 • Y. Chen, A. Abbasi, and H. Chen, “Framing Social Movement Identity with Cyber-Artifacts: A Case Study of the International Falun Gong Movement,” Annals of Information Systems, Volume 9, Pages 1–24, 2009. • Y. Dang, Y. Zhang, H. Chen, P. Hu, S. Brown, and C. Larson, “Arizona Literature Mapper: An Integrated Approach to Monitor and Analyze Global Bioterrorism Research Literature,” Journal of the American Society for Information Science and Technology, Volume 60, Number 7, Pages 1466–1485, July 2009.