FADSF: A Data Sharing Model for Intelligent Connected Vehicles Based on Blockchain Technology

With the development of technology, the connected vehicle has been upgraded from a traditional transport vehicle to an information terminal and energy storage terminal. The data of ICV (intelligent connected vehicles) is the key to organically maximizing their efficiency. However, in the context of increasingly strict global data security supervision and compliance, numerous problems, including complex types of connected vehicle data, poor data collaboration between the IT (information technology) domain and OT (operation technology) domain, different data format standards, lack of shared trust sources, difficulty in ensuring the quality of shared data, lack of data control rights, as well as difficulty in defining data ownership, make vehicle data sharing face a lot of problems, and data islands are widespread. This study proposes FADSF (Fuzzy Anonymous Data Share Frame), an automobile data sharing scheme based on blockchain. The data holder publishes the shared data information and forms the corresponding label storage on the blockchain. The data demander browses the data directory information to select and purchase data assets and verify them. The data demander selects and purchases data assets and verifies them by browsing the data directory information. Meanwhile, this paper designs a data structure Data Discrimination Bloom Filter (DDBF), making complaints about illegal data. When the number of data complaints reaches the threshold, the audit traceability contract is triggered to punish the illegal data publisher, aiming to improve the data quality and maintain a good data sharing ecology. In this paper, based on Ethereum, the above scheme is tested to demonstrate its feasibility, efficiency and security.