IEDs in the dark web: Lexicon expansion and genre classification

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

7 Scopus citations

Abstract

Improvised explosive device web pages represent a significant source of knowledge for security organizations. In this paper, we present significant improvements to our approach to the discovery and classification of IED related web pages in the Dark Web. We present a statistical feature ranking approach to the expansion of the keyword lexicon used to discover IED related web pages, which identified new relevant terms for inclusion. Additionally, we present an improved web page feature representation designed to better capture the structural and stylistic cues revealing of genres of communication, and a series of experiments comparing the classification performance of the new representation with our existing approach.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages173-175
Number of pages3
DOIs
StatePublished - Oct 22 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Publication series

Name2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period6/8/096/11/09

Keywords

  • Dark web
  • Genre classification
  • Improvised explosive device

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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    Chen, H. (2009). IEDs in the dark web: Lexicon expansion and genre classification. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 173-175). [5137293] (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/ISI.2009.5137293