| Issue |
ITM Web Conf.
Volume 65, 2024
International Conference on Multidisciplinary Approach in Engineering, Technology and Management for Sustainable Development: A Roadmap for Viksit Bharat @ 2047 (ICMAETM-24)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 6 | |
| Section | Computer Engineering and Information Technology | |
| DOI | https://doi.org/10.1051/itmconf/20246503010 | |
| Published online | 16 July 2024 | |
Machine Learning: Enhancing Cybersecurity through Attack Detection and Identification
1 Associate Professor, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar
2 Professor, Department of Engineering, Darshan University, Rajkot, Gujarat
3,4,5,6 Assistant Professor, Silver Oak College of Computer Applications, Silver Oak University, Ahmedabad, Gujarat
1* ddpandya.fcs@spu.ac.in
2 abhijit.highereducation@gmail.com
3 madhavibhuptani.ca@silveroakuni.ac.in
4 vandanapatel1011@gmail.com
5 sk19990711@gmail.com
6 hockeydeepal@gmail.com
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.
Key words: Machine Learning / Cyber Security / IoT / Cyber attacks
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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