COUNTER-TERRORISM IN INDONESIA

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...

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...

A Soft Computing Model to Counter Terrorism

In the aftermath of September 11, the experts concluded that data mining could help it prevent future terrorist attacks. Experts are also concerned that in its zeal to apply technology to antiterrorism, the government could disrupt the crime-fighting processes of the agencies that are charged with finding and stopping terrorists before they act. The entire information or the evidence about a te...