By Hsinchun Chen
The collage of Arizona man made Intelligence Lab (AI Lab) darkish internet venture is a long term medical learn application that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric process. We target to gather "ALL" web pages generated through overseas terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, video clips, digital global, and so forth. we've got built quite a few multilingual facts mining, textual content mining, and net mining thoughts to accomplish hyperlink research, content material research, net metrics (technical sophistication) research, sentiment research, authorship research, and video research in our learn. The techniques and techniques constructed during this undertaking give a contribution to advancing the sphere of Intelligence and protection Informatics (ISI). Such advances can help comparable stakeholders to accomplish terrorism examine and facilitate overseas protection 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 options, equipment, and case reviews built through the college of Arizona AI Lab darkish internet group participants. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish internet learn alongside 3 dimensions: methodological matters in darkish internet learn; database and computational ideas to help details assortment and information mining; and criminal, social, privateness, and knowledge confidentiality demanding situations and approaches. it is going to convey beneficial wisdom to scientists, protection pros, counterterrorism specialists, and coverage makers. The monograph can additionally function a reference fabric or textbook in graduate point classes relating to details safety, info coverage, details coverage, details structures, terrorism, and public policy.