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
Link To Document :
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