Mapping Dark Web Geolocation

  • Clinton Mielke
  • Hsinchun Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5376)


In this paper we first provide a brief review of the Dark Web project of the University of Arizona Artificial Intelligence Lab. We then report our research design and case study that aim to identify the geolocation of the countries, cities, and ISPs that host selected international Jihadist web sites. We provide an overview of key relevant Internet functionality and architecture and present techniques for exploiting networking technologies for locating servers and resources. Significant findings from our case study and suggestion for future research are also presented.


Internet Protocol Terrorist Group Domain Name System Internet Protocol Address White Supremacist 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Abbasi, A., Chen, H.: Identification and Comparison of Extremist-Group Web Forum Messages using Authorship Analysis. IEEE Intelligent Systems 20(5), 67–75 (2005)CrossRefGoogle Scholar
  2. Abbasi, A., Chen, H., Salem, A.: Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums. ACM Transactions on Information Systems 26(3), 12:1–12:34 (2008)CrossRefGoogle Scholar
  3. Adams, J., Roscigno, V.J.: White Supermacists, oppositional culture and the World Wide Web. Social Forces 84(2), 759–778 (2005)CrossRefGoogle Scholar
  4. Chau, M., Qin, J., Zhou, Y., Tseng, C., Chen, H.: SpidersRUs: Automated Development of Vertical Search Engines in Different Domains and Languages. In: Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2005), Denver, Colorado, USA, June 7-11 (2005)Google Scholar
  5. Chau, M., Xu, J.: A Framework for Locating and Analyzing Hate Groups in Blogs. In: Proceedings of the Pacific-Asia Conference on Information Systems, Kuala Lumpur, Malaysia, July 6-9 (2006)Google Scholar
  6. Chen, H., Qin, J., et al.: Dark Web portal: collecting and analyzing the presence of domestic and international terrorist droups on the Web. In: IEEE Intelligence Transportation Conference, Washington, D.C. IEEE, Los Alamitos (2004)Google Scholar
  7. Chen, H.: Intelligence and Security Informatics for International Security: Information Sharing and Data Mining. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. Chen, H., Reid, E., Sinai, J., Silke, A., Ganor, B. (eds.): Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security. Springer, Heidelberg (2008)Google Scholar
  9. Crilley, K.: Information Warfare: New Battle Fields Terrorists, Propaganda, and the Internet. Proceedings of the Association for Information Management 53(7), 250–264 (2001)Google Scholar
  10. Gerstenfeld, P.B., Grant, D.R., Chiang, C.: Hate Online: A Content Analysis of Extremist Internet Sites. Analysis of Social Issues and Public Policy 3(1), 29–44 (2003)CrossRefGoogle Scholar
  11. Glaser, J., Dixit, J., Green, D.P.: Studying Hate Crime with the Internet: What Makes Racists Advocate Racial Violence? Journal of Social Issues 58(1), 177–193 (2002)CrossRefGoogle Scholar
  12. Gustavson, A.T., Sherkat, D.E.: Elucidating the Web of Hate: The Ideological Structuring of Network Ties among White Supremacist Groups on the Internet. In: The Annual Meeting of the American Sociological Association (2004)Google Scholar
  13. Krebs, V.E.: Mapping terrorist cells. Connections 24(3) (2001)Google Scholar
  14. Weimann, G.: How modern terrorism uses the Internet. Special Report, United States Institute of Peace (2004) (Retrieved October 31, 2006),,
  15. Zhou, Y., Reid, E., Qin, J., Chen, H., Lai, G.: U.S. Extremist Groups on the Web: Link and Content Analysis. IEEE Intelligent Systems 20(5), 44–51 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Clinton Mielke
    • 1
  • Hsinchun Chen
    • 1
  1. 1.Artificial Intelligence LabUniversity of Arizona, TucsonArizonaUSA

Personalised recommendations