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
Link To Document :
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