Several applications for connected cars leverage the mobility information periodically broadcasted by cars through standard vehicle-to-vehicle messages. We propose an architecture in which each car generates and sends reports including the messages received from its neighbors to the access network infrastructure. The infrastructure collects and stores the received reports through multiple blockchains, each of them referring to a different geographical area. A smart contract is then executed to verify the spatial coherence among the received data. We implement a proof-of-concept of such a solution using Hyperledger Fabric, and we investigate the scalability of our solution in terms of resource consumption in a MEC system.

Blockchain-based Mobility Verification of Connected Cars / Chiasserini, Carla Fabiana; Giaccone, Paolo; Malnati, Giovanni; Macagno, Michele; Sviridov, German. - STAMPA. - (2020). (Intervento presentato al convegno IEEE CCNC 2020 tenutosi a Las Vegas (USA) nel 10-13 Jan. 2020) [10.1109/CCNC46108.2020.9045104].

Blockchain-based Mobility Verification of Connected Cars

Carla Fabiana Chiasserini;Paolo Giaccone;Giovanni Malnati;German Sviridov
2020

Abstract

Several applications for connected cars leverage the mobility information periodically broadcasted by cars through standard vehicle-to-vehicle messages. We propose an architecture in which each car generates and sends reports including the messages received from its neighbors to the access network infrastructure. The infrastructure collects and stores the received reports through multiple blockchains, each of them referring to a different geographical area. A smart contract is then executed to verify the spatial coherence among the received data. We implement a proof-of-concept of such a solution using Hyperledger Fabric, and we investigate the scalability of our solution in terms of resource consumption in a MEC system.
2020
978-1-7281-3893-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2756113