Abstract
The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intelligent transportation systems required for autonomous vehicles (AV-ITS). The proposed approach is comprised of four major elements: qualitative and quantitative modeling of the AV-ITS, stochastic analysis to capture and quantify interdependencies, mitigation of disruptions, and validation of efficacy of the self-healing process. This paper describes the overall methodology and presents preliminary results, including an agent-based model for detection of and recovery from disruptions to the AV-ITS.
Recommended Citation
E. Jackson and S. S. Sarvestani, "Securing The Transportation Of Tomorrow: Enabling Self-Healing Intelligent Transportation," Proceedings - International Computer Software and Applications Conference, pp. 946 - 949, Institute of Electrical and Electronics Engineers, Jan 2023.
The definitive version is available at https://doi.org/10.1109/COMPSAC57700.2023.00126
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
autonomous vehicles; cyber attack; intelligent transportation system; modeling; self-healing; survivability
International Standard Serial Number (ISSN)
0730-3157
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2023
Comments
National Science Foundation, Grant DUE-1742523