Enhancing Security in Automobile Edge Computing through Federated Learning and Blockchain-Reference-Cited by-同舟云学术

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Enhancing Security in Automobile Edge Computing through Federated Learning and Blockchain

Published:2023-09-15 Issue: Volume:20 Page:1-6
ISSN:
Container-title:2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS)
language:
Short-container-title:

Author:

S Sandosh¹,Doshi Sujay²,Joshi Atharva²

Affiliation:

1. Vellore Institute of Technology,Faculty for Computer Science with specialization in Artificial Intelligence and Machine Learning,Chennai,India

2. Vellore Institute of Technology,Computer Science with specialization in Artificial Intelligence and Machine Learning,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391092/10391098/10391311.pdf?arnumber=10391311

Reference15 articles.

1. Security risk analysis of autonomous vehicles and smart road infrastructure;Li;Journal of Advanced Transportation,2021

2. Autonomous vehicle navigation with improved accuracy and efficiency. Journal of Advanced Transportation;Zhang,2021

3. Deep learning-based autonomous driving: A review;Zhang;Proceedings of the IEEE,2020

4. Autonomous driving: Progress and challenges;Yang;IEEE Intelligent Systems,2021

5. Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network Approach

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