By Hsinchun Chen
The collage of Arizona man made Intelligence Lab (AI Lab) darkish net venture is a long term clinical learn application that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric method. We goal to gather "ALL" websites generated by way of foreign terrorist teams, together with websites, boards, chat rooms, blogs, social networking websites, video clips, digital international, and so on. we've got built numerous multilingual facts mining, textual content mining, and net mining concepts to accomplish hyperlink research, content material research, internet metrics (technical sophistication) research, sentiment research, authorship research, and video research in our learn. The methods and techniques built during this venture give a contribution to advancing the sector of Intelligence and safety Informatics (ISI). Such advances may help similar stakeholders to accomplish terrorism learn and facilitate overseas safeguard and peace. This monograph goals to supply an outline of the darkish internet panorama, recommend a scientific, computational method of knowing the issues, and illustrate with chosen ideas, equipment, and case reviews constructed by way of the collage of Arizona AI Lab darkish internet workforce contributors. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net examine alongside 3 dimensions: methodological matters in darkish net study; database and computational ideas to aid details assortment and information mining; and criminal, social, privateness, and information confidentiality demanding situations and approaches. it's going to deliver worthwhile wisdom to scientists, protection pros, counterterrorism specialists, and coverage makers. The monograph can additionally function a reference fabric or textbook in graduate point classes concerning details protection, info coverage, info coverage, details platforms, terrorism, and public coverage.
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Additional resources for Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems)
Chen, “Global Disease Surveillance using Social Media: HIV/AIDS Content Intervention in Web Forums,” Proceedings of the 2010 IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, Canada, May 2010. 14 1 Dark Web Research Overview 2009 • Y. Zhang, Y. Dang, and H. Chen, “Gender Difference Analysis of Political Web Forums: An Experiment on an International Islamic Women’s Forum,” in Proceedings of the IEEE International Intelligence and Security Informatics Conference, Dallas, TX, June 2009.
We have also developed selected visualization techniques to examine sentiment/affect changes in time and among people. , principal component analysis) techniques. 5 Authorship Analysis and Writeprint Grounded in authorship analysis research, we have developed the (cyber) Writeprint technique to uniquely identify anonymous senders based on the signatures associated with their forum messages. , violence, racism) features of relevance to online texts of extremists and terrorists. We have also developed advanced Ink blot and Writeprint visualizations to help visually identify web signatures.
S. Mehrotra, D. Zeng, H. Chen, B. Thursaisingham, and F. ), Intelligence and Security Informatics, Proceedings of the IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Lecture Notes in Computer Science (LNCS 3975), Springer-Verlag, 2006. • H. Chen, F. Wang, C. Yang, D. Zeng, M. Chau, and K. ), Intelligence and Security Informatics, Proceedings of the Workshop on Intelligence and Security Informatics, WISI 2006, Lecture Notes in Computer Science (LNCS 3917), Springer-Verlag, 2006.