Cybersecurity Risk Assessment Models for Autonomous Vehicle Operations
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How to Cite

[1]
Dr. Priya Rajagopal, “Cybersecurity Risk Assessment Models for Autonomous Vehicle Operations”, Journal of AI in Healthcare and Medicine, vol. 1, no. 2, pp. 48–65, Dec. 2021, Accessed: Dec. 03, 2024. [Online]. Available: https://healthsciencepub.com/index.php/jaihm/article/view/34

Abstract

The introduction of autonomous vehicles (AVs) to public roadways introduces a cybersecurity risk. Autonomous vehicles are complex cyber-physical systems with the potential to cause physical damage and loss of life in the event of a cyber attack, which could involve either spyware or radio frequency jamming. As such, the main challenges of securing the safety of autonomous mobility are the quantification of the vulnerability related to cyber-threats and potential implementations of independent and integrated cybersecurity measures. Cybersecurity protocols need to be assessed to determine the risk of advanced persistent threat (APT) and their capability to detect, isolate, and/or eliminate a potential cyber-intrusion and ensure safety. The dilemma becomes that a very high level of cybersecurity security would require an unaffordable cost, as the percentage of resources allocated to protect a system increases with the value of the system that needs to be protected.

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