4.6 Article

Method of Reaching Consensus on Probability of Food Safety Based on the Integration of Finite Credible Data on Block Chain

Journal

IEEE ACCESS
Volume 9, Issue -, Pages 123764-123776

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3108178

Keywords

Safety; Blockchains; Government; Smart contracts; Regulation; Distributed ledger; Bitcoin; Block chain; food safety; finite credible data; probability consensus; social co-governance

Funding

  1. Social Science Foundation of Shaanxi Province [2020F014]
  2. Special Project of Shaanxi Provincial Department of Education [19JC015]
  3. Project of Xi'an Science and Technology University Talents Service Enterprise [GXYD7.7]

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This paper proposes a new method to promote the social co-governance of food safety using blockchain technology, and validates the effectiveness of the scheme, model, and algorithm in an experimental environment, providing a new approach to address food safety issues.
The use of new technologies to empower the social co-governance of food safety is a consensus in the theoretical and practical fields of food safety governance modernization. Based on the innovative features of the block chain such as non-tampering, consensus mechanism, and a smart contract, this paper proposes a new method to facilitate the achievement of the effect of social co-governance of food safety. Firstly, it provides a profound analysis of the causes of food safety problems and the drawbacks of traditional centralized supervision, and proposes a solution with decentralized features and the design process of smart contracts to realize the chaining and integration of finite credible data in the process of food circulation; secondly, it constructs a mathematical model through finite credible data on the chain and obtains the probabilistic consensus results of food safety through rigorous derivation; Finally, the scheme, model and algorithm are effectively practiced through the experimental environment of mature block chain platform and provincial food supervision platform. The example shows that the market failure problem in food safety can be greatly alleviated by the non-tampering feature of block chain; the consensus results formed by the credible data uploading, model construction and data derivation through smart contracts can greatly alleviate the problem of involution of government administrative supervision; and the social co-governance capacity of food safety can be improved through information sharing with the active synergy of multiple subjects of co-governance.

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