With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.

Chelghoum, M., Bendiab, G., Benmohammed, M., Shiaeles, S., Bellini, E. (2023). BTV2P: Blockchain-based Trust Model for Secure Vehicles and Pedestrians Networks. In 2023 IEEE International Conference on Cyber Security and Resilience (CSR) (pp.148-153). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/CSR57506.2023.10224934].

BTV2P: Blockchain-based Trust Model for Secure Vehicles and Pedestrians Networks

Bellini, E
2023-01-01

Abstract

With the arrival of connected and autonomous vehicles, Vehicle-to-Pedestrian (V2P) communications are promising to facilitate efficient future of mobility on the road by ensuring maximum protection and safety for both drivers and pedestrians. However, this new technology poses new security and privacy challenges that should be taken into account. For instance, a probable malicious node claiming to be a legitimate pedestrian or vehicle within the network can impact the traffic flow, or even cause serious congestion and traffic accidents by broadcasting fake observations or phenomena on the roads. Therefore, it is crucial to identify legitimate vehicles and road users against adversaries pretending to be one. The aim of this paper is to address these issues, by proposing a distributed trust management scheme that relies on blockchain technology and a trust computation approach for efficient and secure management of trust relationships between pedestrians and vehicles in Vehicle-to-Pedestrian (V2P) networks.
2023
979-8-3503-1170-9
Chelghoum, M., Bendiab, G., Benmohammed, M., Shiaeles, S., Bellini, E. (2023). BTV2P: Blockchain-based Trust Model for Secure Vehicles and Pedestrians Networks. In 2023 IEEE International Conference on Cyber Security and Resilience (CSR) (pp.148-153). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/CSR57506.2023.10224934].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/459767
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