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

PDF
  • Dr. Hassan Abbas
Dr. Hassan Abbas
Professor of Computer Science, American University of Beirut, Lebanon
Cover

Published 23-04-2024

Creative Commons License

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: Nov. 07, 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].

PDF

Downloads

Download data is not yet available.

References

  1. Tatineni, Sumanth, and Anirudh Mustyala. "Advanced AI Techniques for Real-Time Anomaly Detection and Incident Response in DevOps Environments: Ensuring Robust Security and Compliance." Journal of Computational Intelligence and Robotics 2.1 (2022): 88-121.
  2. Biswas, A., and W. Talukdar. “Robustness of Structured Data Extraction from In-Plane Rotated Documents Using Multi-Modal Large Language Models (LLM)”. Journal of Artificial Intelligence Research, vol. 4, no. 1, Mar. 2024, pp. 176-95, https://thesciencebrigade.com/JAIR/article/view/219.
  3. Bojja, Giridhar Reddy, and Jun Liu. "Impact of it investment on hospital performance: a longitudinal data analysis." (2020).
  4. Vemoori, Vamsi. "Human-in-the-Loop Moral Decision-Making Frameworks for Situationally Aware Multi-Modal Autonomous Vehicle Networks: An Accessibility-Focused Approach." Journal of Computational Intelligence and Robotics 2.1 (2022): 54-87.
  5. Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "Transforming regulatory reporting with AI/ML: strategies for compliance and efficiency." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 145-157.
  6. Bayani, Samir Vinayak, Ravish Tillu, and Jawaharbabu Jeyaraman. "Streamlining Compliance: Orchestrating Automated Checks for Cloud-based AI/ML Workflows." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 413-435.
  7. Tomar, Manish, and Vathsala Periyasamy. "Leveraging advanced analytics for reference data analysis in finance." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 128-136.
  8. Abouelyazid, Mahmoud. "Comparative Evaluation of SORT, DeepSORT, and ByteTrack for Multiple Object Tracking in Highway Videos." International Journal of Sustainable Infrastructure for Cities and Societies 8.11 (2023): 42-52.
  9. Prabhod, Kummaragunta Joel. "Leveraging Generative AI and Foundation Models for Personalized Healthcare: Predictive Analytics and Custom Treatment Plans Using Deep Learning Algorithms." Journal of AI in Healthcare and Medicine 4.1 (2024): 1-23.
  10. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  11. Shahane, Vishal. "Security Considerations and Risk Mitigation Strategies in Multi-Tenant Serverless Computing Environments." Internet of Things and Edge Computing Journal 1.2 (2021): 11-28.
  12. Althati, Chandrashekar, Manish Tomar, and Jesu Narkarunai Arasu Malaiyappan. "Scalable Machine Learning Solutions for Heterogeneous Data in Distributed Data Platform." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 4.1 (2024): 299-309.