Abstract
With the emergence of blockchain-based multi-party trading scenarios, such as finance, government work, and supply chain management. Information on the blockchain poses a serious threat to users’ privacy, and anonymous transactions become the most urgent need. At present, solutions to the realization of anonymous transactions can only achieve a certain degree of trader identity privacy and transaction content privacy, so we introduce zero knowledge proof to achieve complete privacy. At the same time, unconditional privacy provides conditions for cybercrime. Due to the great application potential of the blockchain in many fields, supporting privacy protection and supervision simultaneously in the blockchain is a bottleneck, and existing works can not solve the problem of coexistence of privacy protection and supervision.
This paper takes the lead in studying the privacy and supervision in multi-party anonymous transactions, and proposes a distributed anonymous payment scheme with supervision (DAPS) based on zk-SNARK, signature, commitment and elliptic curve cryptography, which enables users to be anonymous under supervision in transactions. The advantages of DAPS are twofold: enhanced privacy and additional supervision. We formally discussed the security of the whole system framework provided by the zero-knowledge proof, and verified its feasibility and practicability in the open source blockchain framework BCOS.
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Acknowledgment
This work is supported by the Key Program of NSFC-Tongyong Union Foundation under Grant U1636209, the National Natural Science Foundation of China under Grant 61902292, the Key Research and Development Programs of Shaanxi under Grants 2019ZDLGY13-07 and 2019ZDLGY13-04.
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Wang, Z., Pei, Q., Liui, X., Ma, L., Li, H., Yu, S. (2020). DAPS: A Decentralized Anonymous Payment Scheme with Supervision. In: Wen, S., Zomaya, A., Yang, L.T. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11945. Springer, Cham. https://doi.org/10.1007/978-3-030-38961-1_46
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DOI: https://doi.org/10.1007/978-3-030-38961-1_46
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