CTS and normativity: the essentials of preemptive counter-terrorism interventions

Data Mining for Counter-Terrorism

Data mining is becoming a useful tool for detecting and preventing terrorism. This paper first discusses some technical challenges for data mining as applied for counterterrorism applications. Next it provides an overview of the various types of terrorist threats and describes how data mining techniques could provide solutions to counterterrorism. Finally some privacy concerns and potential sol...

Modeling the Complexity of the Terrorism/Counter-Terrorism Struggle: Mathematics of the "Hearts and Minds"

The United States armed forces could be considered the world's most powerful military force. However, in modern conflicts, techniques of asymmetric warfare (terrorism) wreak havoc on the inflexible, regardless of technological or numerical advantage. In order to be more effective, the US military must improve its counter-terrorism (CT) capabilities and flexibility. In this light, the authors mo...

Graph Theory, Social Networks and Counter Terrorism

The Proceedings of the 2 nd Australian Counter Terrorism Conference

In the immediate aftermath of al-Qaeda‘s September 11 attacks on the United States of America, examinations of terrorist funding focused on the Middle Eastern and South Asian use of Hawala and non-traceable financial transactions. However, whilst the cloaking of identity is certainly a part of criminal activity for funds transfer, there are other factors. South Asia‘s community banking norms al...

A Neural Network for Counter-Terrorism

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 experiment...