Mapping dark web geolocation

Clinton Mielke, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings
Pages97-107
Number of pages11
DOIs
StatePublished - Dec 1 2008
Event1st European Conference on Intelligence and Security Informatics, EuroISI 2008 - Esbjerg, Denmark
Duration: Dec 3 2008Dec 5 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5376 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st European Conference on Intelligence and Security Informatics, EuroISI 2008
CountryDenmark
CityEsbjerg
Period12/3/0812/5/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Mielke, C., & Chen, H. (2008). Mapping dark web geolocation. In Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings (pp. 97-107). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5376 LNCS). https://doi.org/10.1007/978-3-540-89900-6_12