Adversarial robustness of deep reinforcement learning-based intrusion detection

Mohamed AmineNeal Merzouk, Christopher Neal, Joséphine Delas, Reda Yaich, Nora Boulahia Cuppens and Frédéric Cuppens

Article (2024)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/59388/
Journal Title:	International Journal of Information Security
Publisher:	Springer Nature
DOI:	10.1007/s10207-024-00903-2
Official URL:	https://doi.org/10.1007/s10207-024-00903-2
Date Deposited:	24 Sep 2024 16:18
Last Modified:	23 Feb 2026 10:08

Cite in APA 7:	Merzouk, M. A.N., Neal, C., Delas, J., Yaich, R., Boulahia Cuppens, N., & Cuppens, F. (2024). Adversarial robustness of deep reinforcement learning-based intrusion detection. International Journal of Information Security, 27 pages. https://doi.org/10.1007/s10207-024-00903-2
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