Machine Intelligence in Cyber Defence: Advancements, Challenges, and Future Directions in Network Security

Authors

  • Vinit Kumar and Dr Sanjay Kumar

Keywords:

Machine Intelligence, Cyber Defence, Deep Learning, Machine Learning, Network Security, Threat Detection, Adversarial AI, Explainable AI

Abstract

Machine intelligence has emerged as a critical enabler in contemporary cyber defence,transforming threat detection, incident response, and security operations through autonomous learning and adaptive capabilities

References

Verizon, "2024 Data Breach Investigations Report," Verizon Business, 2024.

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Published

2024-07-25

How to Cite

Vinit Kumar and Dr Sanjay Kumar. (2024). Machine Intelligence in Cyber Defence: Advancements, Challenges, and Future Directions in Network Security. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3130–3141. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4326

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

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