Transfer Learning-Based Anomaly Detection System for Autonomous Vehicle-Reference-Cited by-同舟云学术

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Transfer Learning-Based Anomaly Detection System for Autonomous Vehicle

Published:2023-11-15 Issue: Volume:36 Page:90
ISSN:
Container-title:ECSA 2023
language:
Short-container-title:

Author:

Kabir Md. Humayun¹²^ORCID,Hasan Mohammad Nadib¹,Ahmad ³^ORCID,Jaki Hassan¹

Affiliation:

1. Department of Computer and Communication Engineering, International Islamic University Chittagong, Kumira Chattogram 4318, Bangladesh

2. Department of Electronics and Telecommunication Engineering, Chittagong University of Engineering and Technology (CUET), Chittagong 4349, Bangladesh

3. Department of Electronics and Telecommunication Engineering, International Islamic University Chittagong, Kumira Chattogram 4318, Bangladesh

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/58/1/90/pdf

Reference12 articles.

1. Cyber-physical systems: Milestones and research challenges;Park;Comput. Commun.,2012

2. Rajkumar, R., Lee, I., Sha, L., and Stankovic, J. (2010, January 13–18). Cyber-physical systems: The next computing revolution. Proceedings of the 47th Design Automation Conference, Anaheim, CA, USA.

3. Kim, S., and Park, K.-J. (2021). A Survey on Machine-Learning Based Security Design for Cyber-Physical Systems. Appl. Sci., 11.

4. Aldhyani, T.H.H., and Alkahtani, H. (2022). Attacks to Automatous Vehicles: A Deep Learning Algorithm for Cybersecurity. Sensors, 22.

5. Wang, Z., Wei, H., Wang, J., Zeng, X., and Chang, Y. (2022). Security Issues and Solutions for Connected and Autonomous Vehicles in a Sustainable City: A Survey. Sustainability, 14.

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