基于区块链的隐私加密货币的隐私评估：Dash、Monero、Verge、Zcash 和 Grin 的比较分析

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE Transactions on Sustainable Computing Pub Date : 2023-08-08 DOI:10.1109/TSUSC.2023.3303180

Tao Zhang

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引用次数: 0

摘要

隐私对金融业非常重要，对基于区块链的加密货币也是如此。比特币只能提供微弱的身份隐私。为了克服比特币在隐私方面的挑战，人们提出了一些注重隐私的加密货币，如 Dash、Monero、Zcash、Grin 和 Verge。在这些注重隐私的加密货币中，采用了私人地址、保密交易和网络匿名服务来改善隐私。我们为基于区块链的加密货币提出了四个隐私指标，即身份匿名性、交易保密性、交易不可链接性和网络匿名性。然后从这些隐私指标出发，对比特币、Dash、Monero、Verge、Zcash 和 Grin 的隐私进行比较分析。最后，讨论了基于区块链的隐私加密货币面临的挑战和未来发展方向。未来，隐私加密货币中可以结合多层次的隐私增强方案，以提高隐私、性能和可扩展性。

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Privacy Evaluation of Blockchain Based Privacy Cryptocurrencies: A Comparative Analysis of Dash, Monero, Verge, Zcash, and Grin

Privacy is important to financial industry, so as to blockchain based cryptocurrencies. Bitcoin can provide only weak identity privacy. To overcome privacy challenges of Bitcoin, some privacy focused cryptocurrencies are proposed, such as Dash, Monero, Zcash, Grin and Verge. Private address, confidential transaction, and network anonymization service are adopted to improve privacy in these privacy focused cryptocurrencies. We propose four privacy metrics for blockchain based cryptocurrencies as identity anonymity, transaction confidentiality, transaction unlinkability, and network anonymity. Then make a comparative analysis on privacy of Bitcoin, Dash, Monero, Verge, Zcash, and Grin from these privacy metrics. Finally, open challenges and future directions on blockchain based privacy cryptocurrencies are discussed. In the future, multi-level privacy enhancement schemes can be combined in privacy cryptocurrencies to improve privacy, performance and scalability.

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来源期刊

IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization

CiteScore

7.70

自引率

2.60%

发文量