Nuclear threat detection via the nuclear web and dark web: Framework and preliminary study

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

1 Citation (Scopus)

Abstract

We believe the science of Intelligence and Security Informatics (ISI) can help with nuclear forensics and attribution. ISI research can help advance the intelligence collection, analytical techniques and instrumentation used in determining the origin, capability, intent, and transit route of nuclear materials by selected hostile countries and (terrorist) groups. We propose a research framework that aims to investigate the Capability, Accessibility, and Intent of critical high-risk countries, institutions, researchers, and extremist or terrorist groups. We propose to develop a knowledge base of the Nuclear Web that will collect, analyze, and pinpoint significant actors in the high-risk international nuclear physics and weapon community. We also identify potential extremist or terrorist groups from our Dark Web testbed who might pose WMD threats to the US and the international community. Selected knowledge mapping and focused web crawling techniques and findings from a preliminary study are presented in this paper.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages85-96
Number of pages12
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

Nuclear weapons
Nuclear physics
Testbeds
Instrumentation
Accessibility
Knowledge Base
Testbed
Physics
Framework
Intelligence
Community
Actors
Knowledge

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chen, H. (2008). Nuclear threat detection via the nuclear web and dark web: Framework and preliminary study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5376 LNCS, pp. 85-96). (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_11

Nuclear threat detection via the nuclear web and dark web : Framework and preliminary study. / Chen, Hsinchun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS 2008. p. 85-96 (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

Chen, H 2008, Nuclear threat detection via the nuclear web and dark web: Framework and preliminary study. 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. 85-96, 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_11
Chen H. Nuclear threat detection via the nuclear web and dark web: Framework and preliminary study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS. 2008. p. 85-96. (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_11
Chen, Hsinchun. / Nuclear threat detection via the nuclear web and dark web : Framework and preliminary study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5376 LNCS 2008. pp. 85-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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