Abstract:
The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for...Show MoreMetadata
Abstract:
The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for next-generation connected and automated vehicles (CAVs). On the one hand, these technologies can enable vehicles to leverage more computing power from edge and cloud servers and to share information with each other and surrounding infrastructures for better situation awareness and more intelligent decision making. On the other hand, the more distributed computing process and the wireless nature of V2X (vehicle-to-everything) communication expose vulnerabilities to various disturbances and attacks. In this paper, we discuss the security and safety challenges for edge- and cloud-enabled CAVs, particularly when they are under environment interferences, execution errors, and malicious attacks, and we will introduce our recent work and future directions in developing system-driven, end-to-end methodologies and tools to address these challenges and ensure system resiliency under uncertainties.
Published in: 2023 60th ACM/IEEE Design Automation Conference (DAC)
Date of Conference: 09-13 July 2023
Date Added to IEEE Xplore: 15 September 2023
ISBN Information: