Vol. 3 No. 1 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Security and Privacy Challenges in Autonomous Vehicles - A Comprehensive Review with IoT and Cybersecurity Perspectives: Reviews security and privacy challenges in AVs, with insights from IoT and cybersecurity perspectives

Dr. Emily Chen
Associate Professor of Computer Science, City College of New York, USA
Cover

Published 14-05-2023

Keywords

  • Autonomous Vehicles,
  • Security,
  • Privacy

How to Cite

[1]
Dr. Emily Chen, “Security and Privacy Challenges in Autonomous Vehicles - A Comprehensive Review with IoT and Cybersecurity Perspectives: Reviews security and privacy challenges in AVs, with insights from IoT and cybersecurity perspectives”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 1, pp. 149–159, May 2023, Accessed: Nov. 24, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/61

Abstract

Autonomous Vehicles (AVs) are poised to revolutionize the transportation industry, promising safer roads, increased efficiency, and improved mobility. However, this technological advancement also brings forth significant security and privacy challenges. This paper presents a comprehensive review of the security and privacy challenges in AVs, with insights from the Internet of Things (IoT) and cybersecurity perspectives.

The paper begins by discussing the architecture of AVs and their integration with IoT devices, highlighting the various components and communication protocols involved. It then examines the potential threats to AV security and privacy, including malicious attacks, data breaches, and unauthorized access.

Next, the paper explores the existing security mechanisms in AVs, such as encryption, authentication, and intrusion detection systems, and evaluates their effectiveness in mitigating threats.

Furthermore, the paper discusses the privacy implications of AVs, focusing on the collection, storage, and sharing of sensitive data, such as location information and vehicle telemetry data. It also examines the regulatory frameworks and standards governing AV security and privacy, highlighting the need for comprehensive and standardized approaches.

Finally, the paper concludes with recommendations for future research directions, emphasizing the importance of interdisciplinary collaboration between automotive engineers, cybersecurity experts, and policymakers to address the security and privacy challenges in AVs effectively.

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References

  1. Tatineni, Sumanth. "Blockchain and Data Science Integration for Secure and Transparent Data Sharing." International Journal of Advanced Research in Engineering and Technology (IJARET) 10.3 (2019): 470-480.
  2. Leeladhar Gudala, et al. “Leveraging Artificial Intelligence for Enhanced Threat Detection, Response, and Anomaly Identification in Resource-Constrained IoT Networks”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, July 2019, pp. 23-54, https://dlabi.org/index.php/journal/article/view/4.
  3. Vemori, Vamsi. "Towards Safe and Equitable Autonomous Mobility: A Multi-Layered Framework Integrating Advanced Safety Protocols, Data-Informed Road Infrastructure, and Explainable AI for Transparent Decision-Making in Self-Driving Vehicles." Human-Computer Interaction Perspectives 2.2 (2022): 10-41.