Cybersecurity Threat Intelligence Using Machine Learning: A Review

Authors

  • Dr. Daniel Roberts Author

DOI:

https://doi.org/10.64180/m15ky429

Keywords:

Cybersecurity Threat Intelligence, Machine Learning, Intrusion Detection Systems, Anomaly Detection, Deep Learning

Abstract

Cybersecurity has become a critical concern in the modern digital ecosystem due to the increasing frequency, sophistication, and scale of cyber threats. Traditional security mechanisms are often insufficient to detect and respond to evolving attack patterns in real time. In this context, Cybersecurity Threat Intelligence (CTI) has emerged as a proactive approach for identifying, analyzing, and mitigating potential cyber threats. 

Downloads

Published

2025-04-10

How to Cite

Cybersecurity Threat Intelligence Using Machine Learning: A Review. (2025). International IT Journal of Research, ISSN: 3007-6706, 3(2), 72-80. https://doi.org/10.64180/m15ky429

Similar Articles

41-50 of 92

You may also start an advanced similarity search for this article.