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Research And Application Of Traffic Data Privacy Protection On Blockchain Based On Homomorphic Encryption And Zero-knowledge Proof

Posted on:2023-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2532307070453064Subject:Software engineering
Abstract/Summary:PDF Full Text Request
As one of the basic data of the information society,traffic data has huge commercial value and social value.However,traffic data is also very sensitive,and the current problem of privacy protection is relatively prominent.Once privacy data is leaked,it will pose a threat to related personal privacy and national security.Blockchain is open,transparent and tamper-proof,which is very suitable for meeting the needs of traffic data sharing,co-governance and privacy protection.Research on data privacy protection combined with blockchain technology in the field of transportation has important academic value and application prospects.To help solve the above problems,based on homomorphic encryption algorithm and zero-knowledge proof technology,this paper studies and realizes the privacy protection method of traffic data on blockchain,designs and develops the data privacy protection system for traffic scenarios such as cargo transportation with blockchain.First,combined with the Paillier additive homomorphic encryption algorithm,a privacy protection method with auditable privacy data on blockchain is proposed.The smart contract is used to design and implement the corresponding privacy protection framework and the method of storage encryption and decryption.A comparative experiment was carried out to demonstrate the feasibility of the method.Secondly,combined with the Bulletproofs zero-knowledge proof algorithm on the consortium blockchain platform of Fabric,a method of specific range of zero-knowledge proof is proposed,which is suitable for the legality supervision of privacy data transactions on blockchain.The performance experiment results show that this method is feasible.Finally,combined with the proposed auditable privacy protection method for data on blockchain based on homomorphic encryption and the legitimacy monitoring method of privacy data on blockchain based on zero-knowledge proof,to help solve problems such as transportation payment and material transportation traceability in transportation scenarios such as cargo transportation,the requirement analysis,system design,development and functional test of the privacy protection platform for traffic data on blockchain are carried out,which verifies the validity and feasibility of the privacy protection method for traffic data on blockchain based on homomorphic encryption and zero-knowledge proof proposed in this paper.
Keywords/Search Tags:traffic data, blockchain, homomorphic encryption, zero-knowledge proof, privacy protection
PDF Full Text Request
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