Machine Learning and Deep Learning Approaches in Cybersecurity: A Review

Abstract

People are more scared about hacks, which are getting more sophisticated all the time. This is because the Internet has grown and changed quickly over the past few decades. A strong break recognition system was needed to keep information safe. One of the most outstanding ways of taking care of this issue was to develop the fields of artificial intelligence, machine learning, and deep learning. This study took a gander at the various ways that ML and deep learning use information on the most proficient method to shield data from terrible things. It also looked at break recognition systems. It shows how an assortment of business processes, applications, recipes, learning techniques, and informational collections are utilized to make a functional assault recognition framework utilizing present day ML and deep learning.