A neural network for counter-terrorism

S. J. Dixon, M. B. Dixon, J. Elliott, E. Guest, D. J. Mullier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This article presents findings concerned with the use of neural networks in the identification of deceptive behaviour. A game designed by psychologists and criminologists was used for the generation of data used to test the appropriateness of different AI techniques in the quest for counter-terrorism. A feed forward back propagation network was developed and subsequent neural network experiments showed on average a 60% success rate and at best a 68% success rate for correctly identifying deceptive behaviour. These figures indicate that, as part of an investigator support system, a neural network would be a valuable tool in the identification of terrorists prior to an attack.

Original languageEnglish
Title of host publicationRes. and Dev. in Intelligent Syst. XXVIII
Subtitle of host publicationIncorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.
PublisherSpringer-Verlag
Pages229-234
Number of pages6
ISBN (Print)9781447123170
DOIs
Publication statusPublished - 2011
Event1st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011 - Cambridge, United Kingdom
Duration: 13 Dec 201115 Dec 2011

Conference

Conference1st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011
Country/TerritoryUnited Kingdom
CityCambridge
Period13/12/1115/12/11

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