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Title	Hardware-Acceleration Based Privacy-Aware Authentication Scheme For Internet Of Vehicles
ID_Doc	28729
Authors	Madububambachu U.; Fatima R.; White K.; Riley J.; Sherif A.; Khalil K.
Year	2024
Published	2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings
DOI	http://dx.doi.org/10.1109/ICMI60790.2024.10585979
Abstract	Technological advancements have led to the devel-opment of smart cities, enabling intelligent urban management. The Internet of Vehicles (IoV) is a fundamental technology connecting smart cities and vehicles to enhance transportation safety and efficiency. This interconnected system enables wireless communication among vehicles, facilitating the exchange of crucial traffic information. However, this progress raises privacy concerns for individual users. This paper introduces a novel privacy-preserving scheme that utilizes the k-Nearest Neighbors (KNN) encryption technique with multi-multi searching property for Autonomous Vehicle (AV) authentication within the IoV era. Due to the vast amount of information needed to be processed for authentication, we have implemented our scheme using hard-ware acceleration on FPGA board. Our performance evaluation demonstrates that our system exhibits less computational burden and consumes fewer resources in comparison to other existing schemes. © 2024 IEEE.
Author Keywords	Authentication; autonomous vehicles (AVs); hardware acceleration; internet of vehicles (IoV)

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