By Hsinchun Chen
The collage of Arizona synthetic Intelligence Lab (AI Lab) darkish internet undertaking is a long term clinical study application that goals to review and comprehend the foreign terrorism (Jihadist) phenomena through a computational, data-centric technique. We objective to assemble "ALL" websites generated by means of overseas terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, movies, digital global, and so on. we've constructed quite a few multilingual facts mining, textual content mining, and internet mining options to accomplish hyperlink research, content material research, net metrics (technical sophistication) research, sentiment research, authorship research, and video research in our study. The ways and techniques built during this venture give a contribution to advancing the sector of Intelligence and safety Informatics (ISI). Such advances might help comparable stakeholders to accomplish terrorism learn and facilitate foreign safeguard and peace.
This monograph goals to supply an outline of the darkish net panorama, recommend a scientific, computational method of knowing the issues, and illustrate with chosen innovations, tools, and case reviews constructed by means of the college of Arizona AI Lab darkish internet crew contributors. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net learn alongside 3 dimensions: methodological matters in darkish net examine; database and computational concepts to aid info assortment and knowledge mining; and criminal, social, privateness, and knowledge confidentiality demanding situations and methods. it's going to convey priceless wisdom to scientists, protection pros, counterterrorism specialists, and coverage makers. The monograph may also function a reference fabric or textbook in graduate point classes on the topic of details protection, info coverage, info coverage, info platforms, terrorism, and public policy.
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Additional info for Dark Web: Exploring and Data Mining the Dark Side of the Web
We have also developed a semiautomated tool to allow human analysts to quickly and accurately analyze and code these videos. 7 IEDs in Dark Web Analysis We have conducted several systematic studies to identify IED-related content generated by terrorist and insurgency groups in the Dark Web. A smaller number of sites are responsible for distributing a large percentage of IED-related web pages, forum postings, training materials, explosive videos, etc. We have developed unique signatures for those IED sites based on their contents, linkages, and multimedia file characteristics.
Aim high: The following tangible (but somewhat lofty) project goals are always good for your project team to aim at: (1) publishing your project findings in Science, Nature, or Proceedings of the Academy of Science (for its scientific contributions) and (2) being featured in a New York Times or USA Today frontpage article (for its societal impact). 2 ISI Research Framework Crime is an act or the commission of an act that is forbidden, or the omission of a duty that is commanded by a public law and that makes the offender liable to punishment by that law.
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.