By Hsinchun Chen
The collage of Arizona man made Intelligence Lab (AI Lab) darkish net undertaking is a long term clinical learn application that goals to check and comprehend the foreign terrorism (Jihadist) phenomena through a computational, data-centric strategy. We goal to gather "ALL" websites generated through foreign terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, video clips, digital international, and so forth. we've got constructed quite a few 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 study. The techniques and strategies built during this undertaking give a contribution to advancing the sphere of Intelligence and safeguard Informatics (ISI). Such advances can assist comparable stakeholders to accomplish terrorism study and facilitate foreign defense 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 recommendations, equipment, and case reviews constructed via the college of Arizona AI Lab darkish net group participants. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net examine alongside 3 dimensions: methodological matters in darkish internet study; database and computational options to aid info assortment and information mining; and criminal, social, privateness, and information confidentiality demanding situations and approaches. it's going to deliver necessary wisdom to scientists, safety pros, counterterrorism specialists, and coverage makers. The monograph can additionally function a reference fabric or textbook in graduate point classes on the topic of details safeguard, info coverage, info coverage, details platforms, terrorism, and public policy.
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Dark Web: Exploring and Data Mining the Dark Side of the Web: 30 (Integrated Series in Information Systems) by Hsinchun Chen