Data pricing method of shared automobile data market based on block chain

Abstract

The invention discloses a data pricing method of a shared automobile data market based on a block chain, and the method comprises the steps: firstly a shared automobile data transaction market is created based on an alliance chain, and the data transaction market comprises a data source, a data service provider and a data buyer; the data source performs original data pricing, the data service provider purchases source data, performs data processing and performs data pricing, and the data buyer purchases data from the service provider; secondly, the value of the data is determined according to three factors including the privacy quality of the data, the quantity quality of the data and the accuracy quality of the data; and finally, the data source, the data service provider and the data buyer perform data pricing interaction through a three-layer Stackelberg game. The individual rationality of the buyer is ensured, the whole mechanism is very real, any participant can adopt an optimal strategy to improve the benefit of the participant, a Nash equilibrium state is achieved, and the game is kept balanced.

Description

technical field [0001] The invention belongs to the field of data pricing, and in particular relates to a data pricing method in a blockchain-based shared car data market. Background technique [0002] The blockchain is a distributed ledger. The blockchain network system maintains a continuously growing and orderly data block without a center. Each data block has a timestamp and a pointer to the previous one. Blocks cannot be changed once the data is on the chain. In this definition, the blockchain is compared to a distributed database technology. By maintaining the chain structure of data blocks, it can maintain continuously growing and non-tamperable data records. As a machine that can lead trust, blockchain can establish credit in a distributed system where nodes do not need to trust each other by using hash algorithms, digital signatures, time stamps, distributed consensus and economic incentives, and realize point-to-point transactions and Collaboration, thus providin...

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Problems solved by technology

[0006] So far, in the existing literature on data pricing, on the one hand, some data pricing only considers several mechanisms of the data pricing model, and the traditional data trading market has the defects of centralization, data leakage, and user privacy. risk of leakage

On the other hand, some trading markets consider the combination with the blockchain, but for the shared car data trading market, there is a lack of pricing and research on data trading scenarios, and the business needs of the actual car trading market are not considered.

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