PROFILING FRAMEWORK IN IDENTIFYING CYBER VIOLENT EXTREMISM (CYBER-VE) ATTACK

摘要

Cyber Violent Extremism (Cyber-VE) attack becomes topped at the international agenda and it still significant and concern to many governments in Southeast Asia and beyond. Cyber-VE becomes a threat to the country as the ongoing increase in online activities by the violent extremists group. The threat of Cyber-VE is still on the rise and the existing counters do not seem to be reducing this attack. Hence, the aim of this paper is to propose a new profiling framework in profiling Cyber-VE activities. This paper integrates between Cyber-VE traces classification and the components of criminology theory. Traces classification is generated through the process of identifying, extracting, and classifying traces. Two types of criminology theory which social are learning theory and space transition theory are used to explain and identify the criminal behavior. Then, both traces classification and criminology theory are integrated in order to develop the profiling framework. The proposed Cyber-VE profiling framework consists of three main processes which are data extraction and classification, Cyber-VE behavior identification, and Cyber-VE profile construction. The proposed profiling framework is evaluated and validated to verify its capabilities in profiling Cyber-VE activities. In experimental approach, the results from the dataset showed that the profiling framework is capable to profile Cyber-VE activities. In expert view, the results showed that the proposed profiling framework able to identify the activities that related to Cyber-VE attack. These findings will be used in helping the investigators in identifying any activities that related to Cyber-VE attack and help in profiling Cyber-VE attack.