Pakistan’s Counter-Terrorism Strategy with Viable Recommendations

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...

Terrorism Futures: a Viable Decision-market Tool

This paper examines and thereafter models “terrorism futures,” recently created by the U.S. Pentagon but subsequently terminated when revelation of their existence caused a sharp congressional outcry. The termination is regrettable because this type of market – commonly referred to as a “decision market” – has proven itself to be a consistent and accurate predictor of future events. Using this ...

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...

Graph Theory, Social Networks and Counter Terrorism

Modeling Values for Counter-Terrorism Analysis

Decisions are made to achieve objectives. A value model unambiguously represents objectives in a quantitative manner. Hence, a value model both guides thinking and provides a basis for analyzing alternatives to best meet the desired objectives. This paper proposes the development of value models to support counter-terrorism efforts. It summarizes the theory and procedures to develop value model...