Editorial: AI meets cybersecurity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10844-022-00767-9.pdf
Reference6 articles.
1. Ghanem, M. C., Chen, T. M., & Nepomuceno, E. G. (2022). Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00738-0.
2. Hindy, H., Tachtatzis, C., Atkinson, R., Brosset, D., Bures, M., Andonovic, I., Michie, C., & Bellekens, X. (2022). Leveraging siamese networks for one-shot intrusion detection model. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00747-z.
3. Kelly, D., Glavin, F. G., & Barrett, E. (2022). DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00735-3 .
4. Koay, A. M. Y., Ryan, K. L., Ko, H. H., & Radke, K. (2022). Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00753-1.
5. Sharma, O., Sharma, A., & Kalia, A. (2022). Windows and IoT malware visualization and classification with deep CNN and Xception CNN using Markov images. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00734-4.
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