zkrpChain: Towards multi-party privacy-preserving data auditing for consortium blockchains based on zero-knowledge range proofs

Shiwei Xu, Xiaowen Cai, Yizhi Zhao, Zhengwei Ren, Le Du, Qin Wang, Jianying Zhou

Abstract: Highlights•A privacy-preserving data auditing solution for consortium blockchains named zkrpChain, is proposed.•In zkrpChain, both standard-range and arbitrary-range zero-knowledge range proofs for on-chain data are supported. We also develop how to aggregate multiple such range proofs into a single proof, and then verify the single proof. Furthermore, as the extended work, we also develop multi-party proofs generation and verification.•We provide chaincodes, related APIs together with client codes for developers to create their own privacy-preserving data auditing applications.