AI for Cyber Defence: Developing Autonomous Security Systems
Keywords:
Artificial Intelligence (AI), Cyber Defence, Autonomous Security Systems, Intrusion Detection, Malware Analysis, Vulnerability Assessment, Cybersecurity, Machine LearningAbstract
In the evolving landscape of cybersecurity, AI-driven solutions have become a crucial component in defending against increasingly sophisticated threats. Autonomous security systems powered by Artificial Intelligence (AI) can autonomously detect, analyse, and respond to cyberattacks in real-time, enhancing efficiency and reducing the burden on human operators. This paper explores the role of AI in cyber defence, focusing on its applications in intrusion detection, malware analysis, and vulnerability assessment. Additionally, it discusses the challenges and limitations of implementing AI in cybersecurity systems, as well as future directions for research and development in this domain.
Downloads
References
. Alotaibi, B. (2022). Artificial Intelligence in Cybersecurity: A Survey. Journal of Cybersecurity Research, 18(2), 205-217.
Johnson, S., & Williams, M. (2023). Machine Learning for Intrusion Detection Systems. International Journal of Cyber Defense, 11(4), 432-450.
Chen, H., & Wang, J. (2024). AI-Powered Malware Detection: A Review. Proceedings of the International Conference on Artificial Intelligence in Cybersecurity, 34-45.
Zhang, Y., & Liu, W. (2022). Vulnerability Assessment Using Machine Learning: Methods and Applications. Journal of Information Security, 30(3), 120-134.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
