Secure Control of Connected and Autonomous Electrified Vehicles Under Adversarial Cyber-Attacks
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915582068129792 |
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| author | Vyas, Shashank Dhananjay Dey, Satadru |
| author_facet | Vyas, Shashank Dhananjay Dey, Satadru |
| contents | Connected and Autonomous Electrified Vehicles (CAEV) is the solution to the future smart mobility having benefits of efficient traffic flow and cleaner environmental impact. Although CAEV has advantages they are still susceptible to adversarial cyber attacks due to their autonomous electric operation and the involved connectivity. To alleviate this issue, we propose a secure control architecture of CAEV. Particularly, we design an additional control input using Reinforcement Learning (RL) to be applied to the vehicle powertrain along with the input commanded by the battery. We present simulation case studies to demonstrate the potential of the proposed approach in keeping the CAEV platoon operating safely without collisions by curbing the effect of adversarial attacks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_23922 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Secure Control of Connected and Autonomous Electrified Vehicles Under Adversarial Cyber-Attacks Vyas, Shashank Dhananjay Dey, Satadru Systems and Control Connected and Autonomous Electrified Vehicles (CAEV) is the solution to the future smart mobility having benefits of efficient traffic flow and cleaner environmental impact. Although CAEV has advantages they are still susceptible to adversarial cyber attacks due to their autonomous electric operation and the involved connectivity. To alleviate this issue, we propose a secure control architecture of CAEV. Particularly, we design an additional control input using Reinforcement Learning (RL) to be applied to the vehicle powertrain along with the input commanded by the battery. We present simulation case studies to demonstrate the potential of the proposed approach in keeping the CAEV platoon operating safely without collisions by curbing the effect of adversarial attacks. |
| title | Secure Control of Connected and Autonomous Electrified Vehicles Under Adversarial Cyber-Attacks |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.23922 |