Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Human-Centric Design of Cybersecurity Incident Response Procedures for Autonomous Vehicles

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  • Dr. Hassan Abbas
Dr. Hassan Abbas
Professor of Computer Science, American University of Beirut, Lebanon
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Published 23-04-2024

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Hassan Abbas, “Human-Centric Design of Cybersecurity Incident Response Procedures for Autonomous Vehicles”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 219–244, Apr. 2024, Accessed: Dec. 03, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/101

Abstract

As autonomous features are employed more widely in transportation systems, it is important to perform analyses of the operational and security impacts of AIH-635-connected vehicles on the transportation system. We believe that a cyber-physical system (CPS) allows clear, insightful, and groundbreaking studies about these impacts. Our self-driving car and the robocars transported pedestrians and drivers to classify threats, as identified critical cellular IoT vulnerabilities that could be abused in a variety of universal attacks. PCIe the discussed topics as source localization in Final County communication, sensors, ROS, and Wi-Fi. With John Cloud design security in partnerships wireless vehicular communication via erasure coding generator that takes account of channel variations. We have been moving toward the challenge of making wireless vehicular communication and signals secure from simple jamming and more complicated spoofing by using various intelligent protections [1].

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