Utilizing Machine Learning and Deep Learning in Cybesecurity: An Innovative Approach
Dushyant Kaushik, Muskan Garg, Annu Annu, Ankur Gupta, Sabyasachi Pramanik · 2022
Machine learning (ML) and deep learning (DL) have both produced overwhelming interest and drawn unparalleled community interest recently. With a growing convergence of online activities and digital life, the way people have learned and function is evolving, but this also leads them towards significant security concerns. Protecting sensitive information, documents, networks and machine-connected devices from unwanted cyber threats is a difficult task. Robust cybersecurity protection is necessary for this reason. For a problem solution, current innovations like machine learning and deep learning is incorporated to cyber threats. This paper also highlights the problems and benefits with using ML / DL and presents recommendations for research directions for machine learning and deep learning in cybersecurity.