Paper Info
Title
Analysis of Weak Signals for Detecting Lone Wolf Terrorists
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.
Year
DOI
Venue
2012
10.1109/EISIC.2012.20
Intelligence and Security Informatics Conference
Keywords
Field
DocType
traditional method,foi impactorium fusion platform,lone wolf terrorist,weak signals,possible lone wolf terrorist,detecting lone wolf terrorists,current ability,weak signal,analysis method,suggested analysis method,digital trace,weak digital trace,natural language processing,intelligence analysis,web pages,computer science,organizations,text mining,terrorism,nlp,internet
Web page,Computer science,Computer security,Commit,Terrorism,Intelligence analysis,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4673-2358-1
16
1.18
References 
Authors
10
6
Name
Order
Citations
PageRank
Joel Brynielsson117320.20
Andreas Horndahl2263.98
Fredrik Johansson3957.18
Lisa Kaati414417.65
Christian Martenson5553.93
Pontus Svenson614922.31