By Hsinchun Chen
The collage of Arizona man made Intelligence Lab (AI Lab) darkish internet undertaking is a long term medical study application that goals to check and comprehend the foreign terrorism (Jihadist) phenomena through a computational, data-centric procedure. We goal to gather "ALL" web pages generated by means of overseas terrorist teams, together with websites, boards, chat rooms, blogs, social networking websites, movies, digital global, and so on. we now have built a number of multilingual facts mining, textual content mining, and net mining ideas to accomplish hyperlink research, content material research, net metrics (technical sophistication) research, sentiment research, authorship research, and video research in our examine. The methods and techniques constructed during this undertaking give a contribution to advancing the sector of Intelligence and safety Informatics (ISI). Such advances can assist similar stakeholders to accomplish terrorism learn and facilitate overseas defense 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 strategies, equipment, and case reviews built via the college of Arizona AI Lab darkish net crew contributors. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net study alongside 3 dimensions: methodological concerns in darkish internet learn; database and computational recommendations to aid details assortment and knowledge mining; and criminal, social, privateness, and information confidentiality demanding situations and approaches. it is going to convey 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 regarding details safety, details coverage, details coverage, details platforms, terrorism, and public coverage.
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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. Much of the content needs to be analyzed by military analysts. Training materials also need to be developed for troops before their deployment (“seeing the battlefield from your enemies’ eyes”). 8 Dark Web Forum Portal For several years, we have monitored and collected many international jihadist forums.
2004a). Although it is difficult, detecting potential terrorist attacks or crimes is possible and feasible with the help of information technology. , terrorist networks), detecting deceptive identities, or employing other surveillance and monitoring techniques, intelligence and warning systems may issue timely, critical alerts and warnings to prevent attacks or crimes from occurring. • Border and transportation security. Terrorists enter a targeted country through an air, land, or sea port of entry.
Chen, “Applying Authorship Analysis to Arabic Web Content,” ISI Conference 2005, Atlanta, GA, May 2005. 16 1 Dark Web Research Overview • E. Reid, J. Qin, Y. Zhou, G. Lai, M. Sageman, G. Weimann, and H. Chen, “Collecting and Analyzing the Presence of Terrorists on the Web: A Case Study of Jihad Websites,” IEEE International Conference on Intelligence and Security (ISI 2005), Atlanta, Georgia, 2005. • D. McDonald, H. Chen, and R. Schumaker, “Transforming Open-Source Documents to Terror Networks: The Arizona TerrorNet,” American Association for Artificial Intelligence Conference Spring Symposia (AAAI-2005), Stanford, CA, March 2005.