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Zhang, T. (2023). Privacy evaluation of blockchain based privacy cryptocurrencies: A comparative analysis of dash, monero, verge, zcash, and grin. IEEE Transactions on Sustainable Computing, 8(4), 574–582. Added by: Rucknium (2024-01-06 17:50) |
| Resource type: Journal Article DOI: 10.1109/TSUSC.2023.3303180 ID no. (ISBN etc.): 2377-3782 BibTeX citation key: Zhang2023a View all bibliographic details  |
Categories: Monero-focused Creators: Zhang Collection: IEEE Transactions on Sustainable Computing |
Views: 273/761
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| Attachments | URLs https://ieeexplore ... /document/10213215 |
| Abstract |
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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.
Added by: Rucknium |