International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

CyMac: Diving Deep into the Application of Machine Learning Algorithms in Cyber Security

Abstract

Machine learning has emerged as a climatic technology in contemporary and prospective cyber threat intel systems, with numerous jurisdictions seamlessly integrating it into their operations. However, the current state of machine learning in cyber defence is still in its early stages, foreshadowing a noticeable unexplored research territory and practical implementation. This paper marks the initial endeavour to offer a comprehensive understanding of machine learning within the entire spectrum of cybersecurity jurisdictions, catering to potential end users with enthusiasm in this field of study. This paper aims to serve as a source of inspiration for significant advancements in ML within the cyber defence zone, laying the groundwork for the broader adoption of ML mitigations to safeguard present and heuristic systems.

Country : India

1 Bishwajit Das2 Nikita Yadav3 Deepa Chauhan4 Sanju Gupta

  1. Department of Computer Science & Engineering, Chhatrapati Shivaji Maharaj University, Navi Mumbai, India
  2. Department of Computer Science & Engineering, Chhatrapati Shivaji Maharaj University, Navi Mumbai, India
  3. Department of Computer Science & Engineering, Chhatrapati Shivaji Maharaj University, Navi Mumbai, India
  4. Department of Computer Science & Engineering, Chhatrapati Shivaji Maharaj University, Navi Mumbai, India

IRJIET, Volume 8, Issue 1, January 2024 pp. 74-80

doi.org/10.47001/IRJIET/2024.801010

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