• DocumentCode
    3302250
  • Title

    Analysis of Weak Signals for Detecting Lone Wolf Terrorists

  • Author

    Brynielsson, Joel ; Horndahl, Andreas ; Johansson, Fredrik ; Kaati, Lisa ; Mårtenson, Christian ; Svenson, Pontus

  • Author_Institution
    Swedish Defence Res. Agency (FOI), Stockholm, Sweden
  • fYear
    2012
  • fDate
    22-24 Aug. 2012
  • Firstpage
    197
  • Lastpage
    204
  • Abstract
    Lone wolf terrorists pose a large threat to modern society. The current ability to identify and stop these kind of terrorists before they commit a terror act is limited since they are very hard to detect using traditional methods. However, these individuals often make use of Internet to spread their beliefs and opinions, and to obtain information and knowledge to plan an attack. Therefore, there is a good possibility that they leave digital traces in the form of weak signals that can be gathered, fused, and analyzed. In this work we present an analysis method that can be used to analyze extremist forums to profile possible lone wolf terrorists. This method is conceptually demonstrated using the FOI Impactorium fusion platform. We also present a number of different technologies that can be used to harvest and analyze information from Internet, serving as weak digital traces that can be fused using the suggested analysis method, in order to discover possible lone wolf terrorists.
  • Keywords
    Internet; terrorism; FOI impactorium fusion platform; Internet; lone wolf terrorist detection; terror act; weak signal analysis; Internet; Natural language processing; Organizations; Terrorism; Text mining; Web pages; NLP; affect analysis; intelligence analysis; natural language processing; text mining; weak signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2012 European
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4673-2358-1
  • Type

    conf

  • DOI
    10.1109/EISIC.2012.20
  • Filename
    6298831