Axel Charpentier, Christopher Neal, Nora Boulahia Cuppens
, Frédéric Cuppens and Reda Yaich
Paper (2023)
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| Additional Information: | Article no. 15 |
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| Department: | Department of Computer Engineering and Software Engineering |
| ISBN: | 9798400707728 |
| PolyPublie URL: | https://publications.polymtl.ca/56032/ |
| Conference Title: | 18th International Conference on Availability, Reliability and Security (ARES 2023) |
| Conference Location: | Benevento, Italy |
| Conference Date(s): | 2023-08-29 - 2023-09-01 |
| Publisher: | Association for Computing Machinery |
| DOI: | 10.1145/3600160.3600176 |
| Official URL: | https://doi.org/10.1145/3600160.3600176 |
| Date Deposited: | 02 Nov 2023 15:35 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Charpentier, A., Neal, C., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (2023, August). Real-Time Defensive Strategy Selection via Deep Reinforcement Learning [Paper]. 18th International Conference on Availability, Reliability and Security (ARES 2023), Benevento, Italy (11 pages). https://doi.org/10.1145/3600160.3600176 |
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