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

Author:

Jamshidi Saeid,Amirnia Ashkan,Nikanjam Amin,Khomh Foutse

Funder

Polytechnique Montréal

Publisher

Elsevier BV

Reference34 articles.

1. Waschull, Sabine, et al. "Work design in future industrial production: Transforming towards cyber-physical systems." Computers and industrial engineering 139 (2020): 105679.

2. Lee, E. A. (2015). Cyber physical systems: design challenges. In Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition (DATE) (pp. 1-6). IEEE.

3. "Attack Intention Oriented Dynamic Risk Propagation of Cyberattacks on Cyber-Physical Power Systems";Hu;in IEEE Transactions on Industrial Informatics,2023

4. "Cyber-Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions";Ye;in IEEE Journal of Emerging and Selected Topics in Power Electronics,2021

5. A cyber-physical systems architecture for industry 4.0-based manufacturing systems;Lee;Manufacturing Letters,2015

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