IEDs in the Dark Web: Genre classification of improvised explosive device web pages

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

Improvised explosive device web pages represent a significant source of knowledge for security organizations. These web pages exist in distinctive genres of communication, providing different types and levels of information for the intelligence community. This paper presents a framework for the classification of improvised explosive device web pages by genre. The approach uses a complex feature extractor, extended feature representation, and support vector machine learning algorithms. Improvised explosive device web pages were collected from the Dark Web and two classification models were examined, one using feature selection. Classification accuracy exceeded 88%.

Original languageEnglish (US)
Pages94-97
Number of pages4
DOIs
StatePublished - Sep 24 2008
EventIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan, Province of China
Duration: Jun 17 2008Jun 20 2008

Other

OtherIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
CountryTaiwan, Province of China
CityTaipei
Period6/17/086/20/08

Keywords

  • Dark web
  • Genre classification
  • Improvised explosive device

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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    Chen, H. (2008). IEDs in the Dark Web: Genre classification of improvised explosive device web pages. 94-97. Paper presented at IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008, Taipei, Taiwan, Province of China. https://doi.org/10.1109/ISI.2008.4565036