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Mapping Dark Web Geolocation

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

Abstract

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.

Keywords

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

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

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