TY - GEN
T1 - Mapping dark web geolocation
AU - Mielke, Clinton
AU - Chen, Hsinchun
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-540-89900-6_12
DO - 10.1007/978-3-540-89900-6_12
M3 - Conference contribution
AN - SCOPUS:58849148583
SN - 3540898999
SN - 9783540898993
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 97
EP - 107
BT - Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings
T2 - 1st European Conference on Intelligence and Security Informatics, EuroISI 2008
Y2 - 3 December 2008 through 5 December 2008
ER -