Machine Learning: Enhancing Cybersecurity through Attack Detection and Identification
Darshanaben Dipakkumar Pandya, Abhijeetsinh Jadeja, Madhavi Nandlal Bhuptani, Vandana Patel, Kinjal Mehta, Dipal Brahmbhatt · ITM Web of Conferences · 2024
Securing data and the systems that manage or store it is known as cyber security. Cyber security violations are the most frequent crime performed by online attackers using one or more systems on one or more networks or systems. These cyberthreats can rapidly steal or lose data, as well as partially or totally shut down network systems. Because cyber-attacks are always developing, manually detecting them can be time-consuming and expensive. Consequently, they may be found and classified using machine learning approaches. This study focuses on a survey of the current algorithms for machine learning research in cyber security.