globusjournal

The incorporation of machine learning into intrusion detection systems represents a crucial new frontier in the process of strengthening digital defences in this day and age, when cyber-attacks are continually evolving in terms of both their level of sophistication and their frequency. The purpose of this research study is to investigate the evolutionary tendencies that have emerged within this ever-changing environment. It also investigates the potential and challenges that come when utilising machine learning for the purpose of intrusion detection. They provide potential capabilities to adapt, learn, and detect novel dangers, overcoming the constraints of traditional rule-based systems.

Keywords: Machine Learning, IDS, Cyber-Attacks, Network.