Cyber Security Using Machine Learning Techniques

DOI

10.2991/978-94-6463-136-4_59How to use a DOI?

Keywords

Cyber security; Artificial Intelligence; Intrusion detection; Malware; spam

Abstract

Machine learning (ML) is a subfield of Artificial Intelligence (AI) that contributes to the development of systems that can learn from previous data, spot patterns, and make logical judgments with little human interaction. Cybersecurity methodologies provide modern security solutions for detecting and responding to threats. As a result of thieves’ ability to circumvent traditional security measures, the previously utilized security solutions are no longer enough. Protecting digital systems from hostile assaults, including those on computers, servers, mobile devices, networks, and associated data, is the practice of cyber security. Accounting for cyber security where machine learning is used and using ML to enable cyber security are the two main components of combining cyber security and ML. We may benefit from this union in a number of ways, including by giving ML models better security, enhancing the effectiveness of cyber security techniques, and enabling the efficient detection of zero-day threats with minimal human involvement. We combine cyber security and ML to address two distinct themes in this survey article. By providing ML strategies for cyber security, the purpose of this paper is to give a wide overview of ML methods employed in cyberspace security.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Manisha A. Manjramkar
AU  - Kalpana C. Jondhale
PY  - 2023
DA  - 2023/05/01
TI  - Cyber Security Using Machine Learning Techniques
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 680
EP  - 701
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_59
DO  - 10.2991/978-94-6463-136-4_59
ID  - Manjramkar2023
ER  -