The Data Privacy Protection Method for Hyperledger Fabric Based on Trustzone

Wen Gao, Xinhong Hei and Yichuan Wang ()
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Wen Gao: School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
Xinhong Hei: School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
Yichuan Wang: School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China

Mathematics, 2023, vol. 11, issue 6, 1-16

Abstract: Hyperledger Fabric is a distributed ledger solution platform based on a modular architecture. The cryptographic algorithm is the core of the platform to ensure the security and tamper-resistant of the data on the chain. However, the original Fabric platform lacks the protection of user’s keys and cryptographic operations. To this end, this paper proposes a data privacy protection method for Hyperledger Fabric based on Trustzone technology, which places the user‘s key and the cryptographic operation process of private data in the trusted execution environment for protection. The experimental results based on the existing blockchain network show that the scheme can effectively ensure the security of data encryption process and key static storage, greatly reduce the trusted computing base and the attack surface. The performance loss is within an acceptable range.

Keywords: Hyperledger fabric; Trustzone; privacy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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