TY - GEN
T1 - Regulation-Friendly Privacy-Preserving Blockchain Based on zk-SNARK
AU - Xu, Lei
AU - Zhang, Yuewei
AU - Zhu, Liehuang
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Recently, blockchain has attracted much attention from industries, due to its good characteristics such as decentralization and tamper proofing. To ensure that sensitive transaction data are not disclosed to the public, many privacy protection methods have been proposed for blockchain, which generally conflicts with regulatory requirements. To resolve such a conflict, in this paper we propose a privacy-preserving account-based blockchain system which supports auditing on transactions. The proposed system protects the privacy of a transaction via homomorphic encryption. The validity of the transaction is guaranteed via zero-knowledge proof. Especially, details of a transaction are presented in form of ciphertexts on the public ledger, which can be decrypted by regulatory authorities. We have implemented a demo of the proposed system using the Substrate framework. Simulation results show that the system has acceptable performance.
AB - Recently, blockchain has attracted much attention from industries, due to its good characteristics such as decentralization and tamper proofing. To ensure that sensitive transaction data are not disclosed to the public, many privacy protection methods have been proposed for blockchain, which generally conflicts with regulatory requirements. To resolve such a conflict, in this paper we propose a privacy-preserving account-based blockchain system which supports auditing on transactions. The proposed system protects the privacy of a transaction via homomorphic encryption. The validity of the transaction is guaranteed via zero-knowledge proof. Especially, details of a transaction are presented in form of ciphertexts on the public ledger, which can be decrypted by regulatory authorities. We have implemented a demo of the proposed system using the Substrate framework. Simulation results show that the system has acceptable performance.
KW - Blockchain
KW - Homomorphic Encryption
KW - Privacy Preserving
KW - Regulation Compliance
KW - Zk-SNARK
UR - https://www.scopus.com/pages/publications/85164252746
U2 - 10.1007/978-3-031-34985-0_17
DO - 10.1007/978-3-031-34985-0_17
M3 - Conference contribution
AN - SCOPUS:85164252746
SN - 9783031349843
T3 - Lecture Notes in Business Information Processing
SP - 167
EP - 177
BT - Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings
A2 - Ruiz, Marcela
A2 - Soffer, Pnina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023
Y2 - 12 June 2023 through 16 June 2023
ER -