Graph-Based Subjective Matching of Trusted Strings and Blockchain-Based Filtering for Connected Vehicles

International audienceAdvances in technology have led to the creation of a connected world. Due to the increase in the number of smart and autonomous cars and the requirements regarding road safety and associated comfort has led to attempts to adapt conventional vehicular network access to the world of connected vehicles. Consolidating the cooperative safety and collected mobility management from different distributed devices are of the utmost importance. However, the prime objective of connected vehicles is not only to impose security and trust measures for individual vehicles but the strategy of connected vehicles should also concentrate on the cooperative and collective environment of fleets of vehicles. Therefore, keeping simple authentication and access control may not be efficient to evaluate trust and assurance for all the distributed stakeholders. Trust being an important entity for this entire system, the strategy for trust evaluation also becomes crucial. In this paper, we propose a broader content matching model of trusted strings and block chain based filtering for connected vehicles where a content and subject headings are first matched and then the outcome of that is consolidated by a distributed block chain consensus voting mechanism for any decision taken with respect to trust evaluation