Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning

Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam and Foutse Khomh

Paper (2024)

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Additional Information:	Groupe de recherche: SWAT Lab; Groupe de recherche: Poly Circle X.O.
Department:	Department of Computer Engineering and Software Engineering
Research Center:	Other
PolyPublie URL:	https://publications.polymtl.ca/59093/
Conference Title:	15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024)
Conference Location:	Hasselt, Belgium
Conference Date(s):	2024-04-23 - 2024-04-25
Journal Title:	Procedia Computer Science (vol. 238)
Publisher:	Elsevier
DOI:	10.1016/j.procs.2024.06.137
Official URL:	https://doi.org/10.1016/j.procs.2024.06.137
Date Deposited:	27 Aug 2024 13:52
Last Modified:	25 Sep 2024 16:51

Cite in APA 7:

Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (2024, April). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Paper]. 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024), Hasselt, Belgium. Published in Procedia Computer Science, 238. https://doi.org/10.1016/j.procs.2024.06.137

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