Priority-Based Mitigation in Education Sector using Machine Learning

Abstract

Education sector is fastest growing as well as major contributing sector in society. Although like every sector in society, education is also facing issues in term of security. Since the pandemic rise and resulting lockdowns, education industry is restricted learning to remote access on virtual platforms and providing the combination of physical classroom as well as virtual training. Whilst this is of enormous help to students and educational institutes, it does come with cyber risks. Education sector has not been exempted from the inevitability of cyber risks and threats that prevail in the dark side of the booming technological developments. Hence, it has become imperative to not only identify these risks but also classify them in order to rectify and understand their consequences. Therefore, in this paper, we will describe the vulnerable areas in educational organisation and predict the attacks according to the impact of the attack which is part of the risk mitigation, so that they can be detected and prevented by using machine learning (ML).