Review of AI driven Intrusion Detection System on Network based attacks

Abstract

This review paper explores the integration of Artificial Intelligence (AI) in Intrusion Detection Systems (IDS), highlighting how AI enhances the effectiveness and efficiency of these systems. It covers the evolution of IDS, from traditional methods to advanced AI-based techniques, including machine learning and deep learning. The paper compares these methods, assessing their strengths and weaknesses in various cybersecurity contexts. The focus is on the transformative impact of AI on IDS, offering insights into future research directions and the potential of AI to revolutionize cybersecurity defenses.