Learning-Based Adversarial Agent Detection and Identification in Cyber Physical Systems Applied to Autonomous Vehicular Platoon-Reference-Cited by-同舟云学术

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Learning-Based Adversarial Agent Detection and Identification in Cyber Physical Systems Applied to Autonomous Vehicular Platoon

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/ACM 5th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS)
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Author:

Khanapuri Eshaan,Chintalapati Tarun,Sharma Rajnikant,Gerdes Ryan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8812309/8823646/08823728.pdf?arnumber=8823728

Cited by 15 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. Learning from high-dimensional cyber-physical data streams: a case of large-scale smart grid;International Journal of Machine Learning and Cybernetics;2024-09-02

2. A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems;IEEE Access;2024

3. To Act or Not to Act: An Adversarial Game for Securing Vehicle Platoons;IEEE Transactions on Information Forensics and Security;2024

4. A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems;2023 International Conference on Computer and Applications (ICCA);2023-11-28

5. Data and Model-Based Approaches in Fault Detection and Identification for Connected Vehicles;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

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