Privacy protection method for blockchain transaction data based on homomorphic encryption and zero-knowledge proof

Zhongtu Liu; Chen Liu

doi:10.1117/12.2671850

21 March 2023 Privacy protection method for blockchain transaction data based on homomorphic encryption and zero-knowledge proof

Zhongtu Liu, Chen Liu

Author Affiliations +

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126090E (2023) https://doi.org/10.1117/12.2671850
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

All users have access to the details of all transactions through the public ledger thanks to the distributed characteristics of the blockchain. However, attackers may infer the identities of the parties through detailed transaction data, and impair the privacy of users. Among these data, the transaction value is one of the most important transaction data. Therefore, for the privacy protection during blockchain transactions, this paper, based on the homomorphic encryption technology, enabled the committer peer to update the ledger during the transaction without knowing the balance of the parties’ accounts and the transaction value. Meanwhile, the zero-knowledge proof scheme was introduced. It was proved by interval range that the committer peer can verify the validity of the transaction without knowing the transaction value.

Citation Download Citation

Zhongtu Liu and Chen Liu "Privacy protection method for blockchain transaction data based on homomorphic encryption and zero-knowledge proof", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126090E (21 March 2023); https://doi.org/10.1117/12.2671850

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