Modeling brain and behavior of a terrorist through fuzzy logic and ontology

Abstract

Security agencies across the world are facing major challenge from the terrorism. Challenge lies in establishing inter-gang relationship and intra-gang behaviour. Though security agencies maintain structured and unstructured data, mining the database and doing predictive analysis is still very difficult task. In India various terrorists groups viz Al-Qaida, LeT and other international militant groups carry out various disruptive activities. In 2010, 132 police officers lost their lives in various operations against militants and extremists in India. We have shown how ontology of crime-criminal world can help in establishing intergang relationship. Call records of phones can be analyzed and ontology can link various criminals belonging to various gangs and can predict inter-gang relationship. Based on the field data we have shown how terrorists based in Northeast India have developed links with Left-wing extremists operating in central part of India. At the end we provide a mathematical model based on fuzzy logic to understand extent of criminality.