Blockchain-based trust management for agricultural green supply: A game theoretic approach

Abstract

Information and communication technology provides e-agriculture with data storage and data analysis capabilities, among which data collection is mainly achieved through a large number of sensors with limited computing and storage capabilities. Since sensors with low security protection are vulnerable to various attacks in agriculture environment, it is challenging to ensure the correctness of the collected data and secure data processing. Most of the existing works mainly consider how to perform data analysis and secure storage, while ignoring the security of the collection task. In this paper, we propose a green supply chain framework based on non-cooperative game, in which we designed a more scientific game theory model based on the Bayesian formula that combines past experience with the current situation. This model ensures the reliability of the data provided by various sensors. In order to manage the equipment in the system more intelligently and flexibly, we propose a green data supply chain and develop trust management to record the trust values of sensors in the blockchain, which significantly improved the transparency and trust of the system. Finally, we conduct simulations to evaluate the performances.