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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: 18 Apr 2023 14:59
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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