Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Dynamic Risk Assessment for Cybersecurity in Autonomous Vehicle Operations - A Computational Intelligence Framework: Develops a computational intelligence framework for dynamic risk assessment in AV cybersecurity operations

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  • Dr. Aïcha Belhajjami
Dr. Aïcha Belhajjami
Associate Professor of Electrical Engineering, Cadi Ayyad University, Morocco
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Published 14-09-2023

Keywords

  • Autonomous Vehicles,
  • Cybersecurity,
  • Risk Assessment
Creative Commons License

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

How to Cite

[1]
Dr. Aïcha Belhajjami, “Dynamic Risk Assessment for Cybersecurity in Autonomous Vehicle Operations - A Computational Intelligence Framework: Develops a computational intelligence framework for dynamic risk assessment in AV cybersecurity operations”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 57–65, Sep. 2023, Accessed: Dec. 24, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/72

Abstract

This research paper presents a novel computational intelligence framework for dynamic risk assessment in cybersecurity operations of autonomous vehicles (AVs). The framework utilizes advanced machine learning and artificial intelligence techniques to continuously assess and mitigate cybersecurity risks in real-time. We discuss the challenges in AV cybersecurity, including the dynamic nature of threats and the complexity of AV systems. The proposed framework addresses these challenges by integrating risk assessment into the AV's decision-making processes, enabling proactive risk mitigation strategies. We evaluate the framework using simulated cyber-attacks and demonstrate its effectiveness in enhancing the cybersecurity of AV operations.

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References

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