With the popularity of blockchain application scenarios, the blockchain's privacy preserving is still a challenging job without sacrificing scalability. To address this problem, this paper proposes a Decentralized Anonymous Payment Scheme Via Confidential Transactions with Efficient Proofs and Scalability, DAPCT, which is short for “queue masquerade”. The core insight of DAPCT is that a new decentralization anonymous payment scheme reconstructed on the mini blockchain model and a proving system. In this work, mini blockchain enables us to have better scalability and this proving system enables us to have better anonymity by proving knowledge what uses a single set and a verifiable random function assessed. With soundness depending on a novel discre-logarithm, we use data from the Bitcoin to test DAPCT. The results show that it provide faster verification time than other confidential transaction models. The results demonstrate that DAPCT creates a great new privacy protection model.
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Miao et al. (2022) studied this question.
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