AI-Driven Cyber Threat Detection and Prevention Systems

Authors

  • Rakhi Thakur

Keywords:

Artificial Intelligence, Cyber security, Threat Detection, Intrusion Prevention, Machine Learning, Deep Learning, Anomaly Detection, Network Security

Abstract

The increasing complexity and frequency of cyberattacks in today’s interconnecteddigital environment have outpaced the capabilities of traditional security mechanisms. To addressthese evolving threats, Artificial Intelligence (AI) has emerged as a transformative technology in cybersecurity.

References

Salem, A. H. (2024). Advancing cybersecurity: A comprehensive review of AI-driven detection techniques. Journal of Big Data, 11(1), 1–23. https://doi.org/10.1186/s40537-024-00957

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Published

2024-04-20

How to Cite

Rakhi Thakur. (2024). AI-Driven Cyber Threat Detection and Prevention Systems . Journal of Computational Analysis and Applications (JoCAAA), 33(4), 925–931. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3889

Issue

Vol. 33 No. 4 (2024): Selected Papers on Computational Techniques Across Multidisciplinary Fields: Innovations and Applications

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.