Litcius/Paper detail

SPDTS: A Differential Privacy-Based Blockchain Scheme for Secure Power Data Trading

Zewei Liu, Chunqiang Hu, Hui Xia, Tao Xiang, Baolin Wang, Jiajun Chen

2022IEEE Transactions on Network and Service Management42 citationsDOI

Abstract

Currently, the conventional mode of power data transaction is mediated by Web pages. Nevertheless, there are challenging issues such as privacy protection, transaction security and data reliability in power data trading. In this paper, we present a novel secure power data trading scheme (SPDTS). Firstly, the zero-knowledge proof is employed to achieve data availability and consistency without revealing the data. Then, SPDTS takes full advantage of the dispersibility and immutability of blockchain to ensure the reliability of data transactions. To keep the transaction process efficient, the processing tasks for power data are performed under smart contract. Meanwhile, a trusted execution environment (TEE) is adopted to guarantee the security of power data. Finally, we present a differential privacy scheme to safeguard the privacy information in the power data. Our study indicates that the proposed scheme can achieve privacy protection, transaction security and data reliability. Also, we conduct security analysis and verify the privacy protection property of the scheme in real cases.

Topics & Concepts

Computer scienceDatabase transactionComputer securityScheme (mathematics)Security analysisSmart contractInformation privacyReliability (semiconductor)Differential privacyBlockchainData integrityDistributed transactionData consistencyData securityTransaction processingComputer networkPower (physics)DatabaseEncryptionData miningQuantum mechanicsMathematical analysisPhysicsMathematicsBlockchain Technology Applications and SecurityCryptography and Data SecurityPrivacy-Preserving Technologies in Data