Elevating Automotive Cyber security with Quantum Computing
Johnbasco Vijay Anand, Dr. S. Sukumaran
Automotive Cyber Security, ISO 21434, Quantum Computing, Security
The advent of connected and autonomous vehicles (CAVs) has revolutionized the automotive industry, but it has also increased the vulnerability to cyber security[1] threats[2]. Traditional cyber security measures are struggling to keep up with the evolving sophistication of attacks targeting CAVs, necessitating the exploration of cutting-edge technologies. Quantum computing offers a promising solution for enhancing automotive cyber security. This research paper investigates the potential of quantum computing in elevating CAV security through applications such as secure communication, data integrity, authentication, intrusion detection, and anomaly detection. By leveraging the unique computational power of quantum computing, we can strengthen the security framework of CAVs and ensure a safer future for connected and autonomous vehicles. Furthermore, customization of quantum approaches like Quantum Key Distribution (QKD), Quantum Optimization, and Quantum Data Encoding based on specific use cases becomes imperative to maximize their effectiveness in automotive cyber security. This research aims to shed light on the significance of quantum computing and the need for customization in order to address the complex security challenges posed by the next-generation automotive ecosystem.
Article Details
Unique Paper ID: 162268

Publication Volume & Issue: Volume 10, Issue 9

Page(s): 27 - 33
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