• DocumentCode
    2054817
  • Title

    Detecting covert dubious actors using cross domain associations

  • Author

    Butt, Wasi Haider ; Khan, Shoab Ahmed ; Qamar, Usman

  • Author_Institution
    Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2013
  • fDate
    29-31 Aug. 2013
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    National Security has become a big challenge of the 21st century. Undetected suspicious individuals, hiding among normal population, disguising themselves as normal people yet maybe involved in terrorist activities silently. Such individuals are called sleepers and from sleeping terrorist cells. It is a very difficult task to identify such individuals. Two or more individuals, who want to have an interaction to participate in a suspicious activity, may not have a direct link rather they may be use other individuals and different modes of association to establish a link between them. The aim of this paper is to propose a novel idea to identify such individuals/group with different association between members which may not be observed under normal circumstances.
  • Keywords
    national security; social networking (online); terrorism; covert dubious actors detection; cross domain associations; national security; sleepers; sleeping terrorist cells; suspicious individual detection; terrorist activities; Conferences; Data models; Educational institutions; Mathematical model; Social network services; Terrorism; Hidden Associations; National Security; component Covert Members;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2013 Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-0047-3
  • Type

    conf

  • DOI
    10.1109/INTECH.2013.6653689
  • Filename
    6653689