Cryptology ePrint Archive: Report 2019/1354

BlockMaze: An Efficient Privacy-Preserving Account-Model Blockchain Based on zk-SNARKs

Zhangshuang Guan and Zhiguo Wan and Yang Yang and Yan Zhou and Butian Huang

Abstract: The disruptive blockchain technology is expected to have broad applications in many areas due to its advantages of transparency, fault tolerance, and decentralization, but the open nature of blockchain also introduces severe privacy issues. Since anyone can deduce private information about relevant accounts, different privacy-preserving techniques have been proposed for cryptocurrencies under the UTXO model, e.g., Zerocash and Monero. However, it is more challenging to protect privacy for account-model blockchains (e.g., Ethereum) since it is much easier to link accounts in the account-model blockchain. In this paper, we propose BlockMaze, an efficient privacy-preserving account-model blockchain based on zk-SNARKs. Along with dual-balance model, BlockMaze achieves strong privacy guaran- tees by hiding account balances, transaction amounts, and linkage between senders and recipients. Moreover, we provide formal security definitions and prove the security of BlockMaze. Finally, we implement a prototype of BlockMaze based on Libsnark and Go-Ethereum, and conduct extensive experiments to evaluate its performance. The experiment results demonstrate BlockMaze has high efficiency in computation and transaction throughput.

Category / Keywords: applications / Blockchain, Zero-Knowledge Proof, Account- Model, Privacy-Preserving, zk-SNARK

Date: received 23 Nov 2019

Contact author: wanzhiguo at sdu edu cn

Available format(s): PDF | BibTeX Citation

Version: 20191127:081227 (All versions of this report)

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