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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brynielsson, J. Horndahl, A. Johansson, F. Kaati, L. Martenson, C. Svenson, P. |
| Copyright Year | 2012 |
| 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. |
| Starting Page | 197 |
| Ending Page | 204 |
| File Size | 687926 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467323581 |
| DOI | 10.1109/EISIC.2012.20 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-22 |
| Publisher Place | Denmark |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text mining Affect analysis NLP Terrorism Intelligence analysis Web pages Weak signals Organizations Natural language processing Internet |
| Content Type | Text |
| Resource Type | Article |
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