Abstract
Machine learning (ML) and deep learning (DL) both drawn unparalleled community interest recently. With a growing convergence of online activities and digital life, the way people learn and function is evolving, but this also leads them toward 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 are intertwined with 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.
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