• DocumentCode
    584853
  • Title

    Countering terrorism through dark web analysis

  • Author

    Sachan, Abhishek

  • Author_Institution
    Comput. Sci., Maulana Azad Nat. Inst. of Technol., Bhopal, India
  • fYear
    2012
  • fDate
    26-28 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Dark Web analysis is an important aspect in field of counter terrorism (CT). In the present scenario terrorist attacks are biggest problem for the mankind and whole world is under constant threat from these well-planned, sophisticated and coordinated terrorist operations. Terrorists anonymously set up various web sites embedded in the public Internet, exchanging ideology, spreading propaganda, and recruiting new members. Dark web is a hotspot where terrorists are communicating and spreading their messages. Now every country is focusing for CT. Dark web analysis can be an efficient proactive method for CT by detecting and avoiding terrorist threats/attacks. In this paper we have proposed dark web analysis model that analyzes dark web forums for CT and connecting the dots to prevent the country from terrorist attacks.
  • Keywords
    Internet; Web sites; data mining; security of data; terrorism; Web sites; counter terrorism; dark Web analysis; public Internet; scenario terrorist attack; terrorist threat; Analytical models; HTML; Joining processes; Manuals; Terrorism; Visualization; Dark web; counter terrorism; data mining; web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2012.6396055
  • Filename
    6396055