Recovery-by-Learning: Restoring Autonomous Cyber-physical Systems from Sensor Attacks-Reference-Cited by-同舟云学术

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Recovery-by-Learning: Restoring Autonomous Cyber-physical Systems from Sensor Attacks

Published:2021-08 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
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Author:

Akowuah Francis,Prasad Romesh,Espinoza Carlos Omar,Kong Fanxin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9545083/9545265/09545272.pdf?arnumber=9545272

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Attack Recovery for Stochastic Cyber-Physical Systems;2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS);2024-05-13

2. Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works;ACM Computing Surveys;2024-04-26

3. Opportunities and Challenges of Using Artificial Intelligence in Securing Cyber-Physical Systems;Artificial Intelligence for Security;2024

4. Learn-to-Respond: Sequence-Predictive Recovery from Sensor Attacks in Cyber-Physical Systems;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

5. Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

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