Indian Journal of Research and Development Systems in Technologization (IJRDST)

ISSN: 2584-2579 (Online)

THE ROLE OF MACHINE LEARNING IN CYBERSECURITY

Author(s)

Sivakumar, R.D.* and Brindha, S.** 

*  Assistant Professor, Department of Computer Science, Bell Institute, Sivakasi West.  

** Former Assistant Professor, Department of Business Administration, Sivakasi 

Abstract

Machine learning (ML) is gaining more understanding as a crucial agent in cybersecurity, reshaping traditional methods of threat detection, prevention and response. This abstract examines in detail the role of machine learning in cybersecurity, particularly focusing on its contribution to coping with the changing cyber threat environment. The ranges of supervised learning to unsupervised learning which are presented by deep learning approaches allow the detection of crimes and the identification of patterns which are not visible to the human eye, thus making it possible to act timely and act effectively. MLcomponent used in cybersecurity is the ability to learn and adjust with new data sources increasing the capabilities and efficiency models. Additionally, AI-ML algorithms are capable of discovering otherwise undetected risks and increasing the organizations’ resilience against the emerging threats. At the same time though, the extensive use of ML in cybersecurity poses certain difficulties, such as the necessity of firm data governance policies designed to provide data integrity and information protection. In addition to that, model intricacy of machine learning results in interpretability problems, obscuring the knowledge of decision-making processes and possibly producing error outputs. Integrated team work of cybersecurity experts, data scientists, and policy makers are required to balance ML's transparency and objectivity. Although these barriers are there, the machine learning has the big potential, in the cybersecurity strategies, for improving threat detection, reducing the response time, and thus strengthening the cyber resilience. This discussion, in fact, lays out the fundamental and vital roles of ML technologies in protecting valuable digital assets and infrastructure from growing cyber criminals, and consequently building a more safe and strong cyberspace.

Keywords : Machine learning, cybersecurity, threat detection, deep learning, supervised learning, data governance and cyber threats.

Volume : 1

Issue : 3

Pages : 41 - 50

Date of Publication : May 2024

DOI

Published By

IJRDST

Published In

Indian Journal of Research and Development Systems in Technologization

(IJRDST)