IoT-enabled Adaptive Cybersecurity Framework for Autonomous Vehicle Networks

Authors

  • Dr. Soojin Kim Professor of Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea Author

Abstract

In the state-of-the-art, the main incentive is to provide secure, privacy-enhanced, authenticated and flexible functionalities of prosumer electric power distribution network by integrating IoT with blockchain technologies. In brief, the high-level architecture of the vehicle-to-vehicle IoT includes in-vehicle communication with connected vehicle I/Os, decision-making intelligent gateway I/Os and gateway ECUs, connected vehicle backbone, service-oriented middleware, IoT smart services and public interfaces. Every node cooperatively offers secure and adaptive communication services using mutual cyber-security confirmations.

The automotive industry is increasingly embracing the paradigm of cybersecurity as a crucial decision-making parameter in the implementation of secure, safe, and dependable automated vehicle technology. Because automotive networks are progressing from your standard CAN to Ethernet, a new milestone has been touched in the evolution, i.e., towards the modern state of in-vehicle communication: connected car architecture, decision-making power of gateways, tension between safety-critical nodes, and more.

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Published

2024-08-03

How to Cite

[1]
D. S. Kim, “IoT-enabled Adaptive Cybersecurity Framework for Autonomous Vehicle Networks”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 33–52, Aug. 2024, Accessed: Sep. 17, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/106