A Survey on Intrusion Detection System Based on Machine Learning and Deep Learning

The intrusion detection system (IDS) is one of the most important security solutions for a variety of security issues that are common on the internet today. Two of an intrusion detection system's primary responsibilities are to check networking data and system programmes for any strange behaviour and notify users if it is discovered. There are numerous ways to find intrusions using machine learning. The goal of this review of the literature is to find and examine emerging ML research trends, threat types, and intrusion detection techniques. This article discusses the use of machine learning techniques in intrusion detection systems as well as the advantages and disadvantages of the various approaches to attacker recognition. establishing a conceptual framework for future machine learning research.