Mapping dark web geolocation

Clinton Mielke, Hsinchun Chen

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

1 Citation (Scopus)

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages97-107
Number of pages11
Volume5376 LNCS
DOIs
StatePublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Artificial intelligence
Websites
Servers
Internet
Networking
Artificial Intelligence
Server
Resources
Design
Review
Architecture

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mielke, C., & Chen, H. (2008). Mapping dark web geolocation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5376 LNCS, 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

Mapping dark web geolocation. / Mielke, Clinton; Chen, Hsinchun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS 2008. p. 97-107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5376 LNCS).

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

Mielke, C & Chen, H 2008, Mapping dark web geolocation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5376 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5376 LNCS, pp. 97-107, 1st European Conference on Intelligence and Security Informatics, EuroISI 2008, Esbjerg, Denmark, 12/3/08. https://doi.org/10.1007/978-3-540-89900-6_12
Mielke C, Chen H. Mapping dark web geolocation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS. 2008. p. 97-107. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-89900-6_12
Mielke, Clinton ; Chen, Hsinchun. / Mapping dark web geolocation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS 2008. pp. 97-107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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