Distributed Edge Caching for Zero Trust-Enabled Connected and Automated Vehicles: A Multi-Agent Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Distributed Edge Caching for Zero Trust-Enabled Connected and Automated Vehicles: A Multi-Agent Reinforcement Learning Approach

Published:2024-04 Issue:2 Volume:31 Page:36-41
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

Xu Xiaolong¹,Zhou Xuanhong¹,Zhou Xiaokang²,Bilal Muhammad³,Qi Lianyong⁴,Xia Xiaoyu⁵,Dou Wanchun⁶

Affiliation:

1. School of Software, Nanjing University of Information Science and Technology,China

2. Shiga University,Japan

3. Hankuk University of Foreign Studies,Korea

4. China University of Petroleum (East China),China

5. RMIT University,Australia

6. Nanjing University,State Key Laboratory for Novel Software Technology,China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7742/10495321/10495908.pdf?arnumber=10495908

Reference13 articles.

1. Performance Measurement Evaluation Framework and Co-Benefit\/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey

2. A Survey of Mobile Ad Hoc Network Attacks

3. A survey on wireless networks attacks

4. Owner Identity Verification in the Internet of Connected Vehicles: Zero Trust Based Solution;Zayed;Cryptology ePrint Archive,2022

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