Machine Learning use Case for Cyber Security in Education Industry

Digitized learning is booming all around the world which is shifting the education sector into digitization as well, especially during the period of COVID. A huge impact can be seen on the education system namely with personalizes learning experiences which in turn helps updating contents frequently for learners and reducing costs with improvement in teaching learning techniques. Education sector is rapidly growing as any other major contributing sector present in the society. Institution industries strive for this generation to be ready while facing the competitive world out there. Although similar to these sectors in society, education is also prone to security issues. The security challenges faced by education are: data theft, malwares, spam, phishing and access control. Therefore, to prevent education industry from such threat, machine learning algorithms should be incorporated. Machine learning is one of the most advanced technologies working in information security and might showcase promising results in education sector of modern times. Scanning and analyzing of data at a faster pace with their statistics is the forte of Machine learning. Recently, the amount of data generated by cyber security systems is enormous on everyday basis, where machine learning plays a vital role. In this paper, we have presented the literature review of applications of machine leaning in the information security, its techniques and lastly the complexities. Also, this study presents a different phase to achieve cyber security and act as a foundation for the proposed prevention model to prevent or acknowledge the cyber-attack which might affect the educational industry.