Evading deep reinforcement learning-based network intrusion detection with adversarial attacks

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

Paper (2022)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/51405/
Conference Title:	17th International Conference on Availability, Reliability and Security (ARES 2022)
Conference Location:	Vienna, Austria
Conference Date(s):	2022-08-23 - 2022-08-26
Publisher:	Association for Computing Machinery (ACM)
DOI:	10.1145/3538969.3539006
Official URL:	https://doi.org/10.1145/3538969.3539006
Date Deposited:	18 Apr 2023 14:59
Last Modified:	25 Sep 2024 16:41

Cite in APA 7:	Merzouk, M. A., Delas, J., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Yaich, R. (2022, August). Evading deep reinforcement learning-based network intrusion detection with adversarial attacks [Paper]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (6 pages). https://doi.org/10.1145/3538969.3539006
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