Research And Application Of Traceability Theory Based On Blockchain

Blockchain is a peer-to-peer distributed database with the advantages of anonymization,tamper-proofing,and decentralization.It has become a key element of the country's development of next-generation information infrastructure and a core component of the digital economy.It relies on the Internet ecological environment.On the one hand,it can provide a trustworthy basic agreement,which has huge application potential in financial services,medical health,e-government and other fields.On the other hand,it can be integrated with various cutting-edge information technologies,which is of great significance to reshaping the development ecology of the digital economy.Therefore,the basic application research of blockchain technology has important scientific research value and significant application significance.As a new type of trustless distributed computing paradigm,blockchain is mainly used to build a scheme of multi-party cooperative trust mechanism in complex environments.However,its various applications are still being explored.This thesis focuses on the key issue of how to establish a credible traceability mechanism under this scheme.Blockchain technology brings a new solution for various traceability application scenarios with its natural advantages,but the actual application effect is not good.The main reason is the lack of understanding and thinking of traceability scenarios,which leads to substantial difficulties in landing.Aiming at solving the problem of traceability based on blockchain technology,this thesis studies the authenticity of traceable data,the privacy protection of traceable data,and the realization of specific traceability applications from different perspectives,as follows:(1)A blockchain trusted traceability framework is proposed,which solves the problems of traceability information in traditional supply chain systems such as easy to be tampered with,easy to lose,and data islands.First,a strategy based on cross-validation of multi-dimensional data information is designed.Multi-dimensional verification of the consistency and degree of consistency of multi-party cross data to determine whether to put the data on the chain.This guarantees the authenticity and reliability of the original data before being put on the chain.Then,based on the above strategy,a credit grading strategy is proposed,which intelligently regulates the fault tolerance threshold of cross data inconsistency,and at the same time encourages users to provide real information.This paper uses the Python simulation environment to design the traceability experiment of the framework.The test results show that the more parties involved,the higher the cost of successfully tampering with the data on the chain.(2)A multi-party computing model that combines blockchain and secure multi-party computing technology is designed.It can realize that multiple parties in the supply chain do not need to trust,carry out the collaborative calculation of sensitive traceability data,and meet the privacy protection requirements of sensitive traceability data.The model uses the blockchain to store the calculation contract and calculation results,selects a group of proxy computing nodes by generating a blockchain random number selection protocol,and performs multi-party calculations on the data on the chain.Analysis shows that the proposed multi-party calculation model can perform multi-party private data summation under the premise of protecting private data.(3)A blockchain-based commodity traceability system is designed and implemented,which meets the business needs of commodity traceability in cross-border trade.According to the software engineering method,the system has been analyzed for business logic,function requirements,and system design and implementation.Based on the above-mentioned blockchain traceability application framework,this system uses the underlying technology platform of the FISCO BCOS alliance chain to solve the problem of the difficulty of multiparty information traceability in the digital traditional traceability system.