Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems)

Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems)

Hsinchun Chen


The college of Arizona man made Intelligence Lab (AI Lab) darkish net undertaking is a long term medical study software that goals to check and comprehend the foreign terrorism (Jihadist) phenomena through a computational, data-centric technique. We target to gather "ALL" websites generated through foreign terrorist teams, together with websites, boards, chat rooms, blogs, social networking websites, video clips, digital international, and so on. we've got constructed a number of multilingual facts mining, textual content mining, and net mining options to accomplish hyperlink research, content material research, internet metrics (technical sophistication) research, sentiment research, authorship research, and video research in our examine. The methods and strategies constructed during this venture give a contribution to advancing the sphere of Intelligence and safety Informatics (ISI). Such advances may also help comparable stakeholders to accomplish terrorism study and facilitate foreign safety 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 thoughts, tools, and case stories built via the collage of Arizona AI Lab darkish internet staff individuals. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net learn alongside 3 dimensions: methodological concerns in darkish net examine; database and computational suggestions to aid info assortment and knowledge mining; and criminal, social, privateness, and information confidentiality demanding situations and approaches.  it is going to carry valuable wisdom to scientists, safety pros, counterterrorism specialists, and coverage makers. The monograph can additionally function a reference fabric or textbook in graduate point classes regarding info protection, info coverage, info coverage, details platforms, terrorism, and public policy.

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