In-Depth Survey of Cyber Attack Detection Using ML

In an era defined by relentless digital connectivity, safeguarding critical infrastructures against cyber threats has become paramount.This survey paper delves into the dynamic realm of cyber-attack detection, focusing on the pivotal role of machine learning techniques.From traditional rule-based methods to cutting-edge deep learning algorithms, this comprehensive review offers an in-depth analysis of diverse approaches.We dissect the strengths, limitations, and applicability of each technique, shedding light on their performance across various attack vectors.Furthermore, we explore emerging trends, challenges, and future directions, envisioning a robust defense against the ever-evolving cyber threat landscape.This survey serves as a compass for researchers, practitioners, and policymakers navigating the intricate domain of cyber security.