A Bloom filter based authentication scheme for vehicular digital twin

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University of New Brunswick


The rapid growth in the automobile industry and the competitive nature of industry players has necessitated a closer connection between vehicles and their owners. This work will explore indepth the use of a Bloom filter based mutual authentication scheme in a vehicular digital twin system. Currently research into digital twin of vehicles within the IoT space shows that vehicles require a constant means of communication with their digital twin while the digital twin also requires such means of communication with the IoVs and other Digital Twin systems. However, these systems exhibit significant security gaps. The system is currently prone to adversarial attacks like the replay, anonymity, linkability attacks among others. The goal of this research will be the implementation of an authentication scheme that provides secure connection between all entities within a vehicular digital twin network. This scheme will use user credentials and vehicle private features to achieve mutual authentication.