The development of religiously motivated terrorism has increased the complexity of the terrorist phenomenon. We are currently faced with a wider range of actors with a broader set of motivations, strategies, tactics, organizational structures and goals than ever before. This increased complexity necessitates the development of analytical frameworks that can guide analysis of the terrorist pheno...

The dispersed character of terrorism as a practice became more coherent to the Western realm through the operationalisation of counter terrorist discourses. The media played a major role in that in the sense that they provided public ‘visibility’ upon the potentiality of terrorist threat. What this essay would like to discuss is the way such representations of threat negotiate a number of issue...

Terrorism is a transnational crime that endangers world peace and security. The terrorist danger imminent in Indonesia the United Kingdom. One of efforts to counter terrorism by establishing international cooperation. latest counter-terror cooperation carried out BNPT with Homeland Security Mission Kingdom Great Britain Northern Ireland. As new collaboration, more in-depth studies are needed re...

This paper reports the DScenT (Detecting Scent Trails) project, which brought together technologists and behavioural scientists to design and evaluate novel methods for countering terrorism in public places. Through a mixture of prototyping and empirical evaluations, we developed and assessed an immersive environment for detecting and investigating deceptive behaviours indicative of terrorist a...

Terror events can cause profound consequences for the whole society. Finding out the regularity of terrorist attacks has important meaning for the global counter-terrorism strategy. In the present study, we demonstrate a novel method using relatively popular and robust machine learning methods to simulate the risk of terrorist attacks at a global scale based on multiple resources, long time ser...

Terrorist group prediction using historical data of terrorist incidents has been less explored due to the lack of meticulous terrorist data which contains terrorist group’s attacks and activities information. There are many reasons for less exploration like its confidentiality & sensitivity. This paper presents an enhanced system that helps to predict the terrorist groups involved in the attack...

Prediction of terrorist group using historical data of attacks has been less explored due to the lack of detailed terrorist data which contain terrorist group's attacks and activities. The reasons may be its confidentiality & sensitivity. In this paper we have shown a terrorist group prediction model (TGPM) to predict the terrorist group involved in a given attack. This model initially lea...