Abstract
Vehicle-to-vehicle (V2V) infrastructure facilitates wireless communication among vehicles within close proximity. This allows sharing of contextual information such as speed, location, direction, traffic, route closures, human behavior mental conditions to improve traffic flow, reduce collisions, and enhance safety on the road. However, the assumption of honest peers along with the over-reliability on the information shared in the network can pose a serious threat to human safety. A digital twin is a concept that enables a system to develop a virtual environment that mimics the real-life scenario for any situation. The availability of powerful computing equipment inside vehicles can be leveraged to construct a digital twin of any scenario that in conjunction with a dynamic trust model can increase the reliability of information obtained in a network. Along this direction, in this vision paper, we have highlighted some of the challenges to developing a collaborative trusted data-sharing framework to host digital twin-assisted services over connected vehicles to improve the reliability of the decision-making information.
Recommended Citation
A. Malik et al., "Trusted Digital Twin Network for Intelligent Vehicles," Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024, Institute of Electrical and Electronics Engineers, Jan 2024.
The definitive version is available at https://doi.org/10.1109/NOMS59830.2024.10575796
Department(s)
Computer Science
Keywords and Phrases
digital twin; security; trust mechanism; V2V
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2024