Big Data Analytics for Behavior Monitoring of Students

Security threat from senseless terrorist attacks on unarmed civilians is a major concern in today's society. The recent developments in data technology allow us to have scalable and flexible data capture, storage, processing and analytics. We can utilize these capabilities to help us in dealing with our security related problems. This paper gives a new meaning to behavioral analytics and introduces a new opportunity for analytics in a typical university setting using data that is already present and being utilized in a university environment. We propose the basics of a system based on Big Data technologies that can be used to monitor students and predict whether some of them are becoming prone to deviant ideologies that may lead to terrorism.