The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Zerocash: Decentralized Anonymous Payments from Bitcoin
Open accessAbstract
Bit coin is the first digital currency to see widespread adoption. While payments are conducted between pseudonyms, Bit coin cannot offer strong privacy guarantees: payment transactions are recorded in a public decentralized ledger, from which much information can be deduced. Zero coin (Miers et al., IEEE S&P 2013) tackles some of these privacy issues by unlinking transactions from the payment's origin. Yet, it still reveals payments' destinations and amounts, and is limited in functionality. In this paper, we construct a full-fledged ledger-based digital currency with strong privacy guarantees. Our results leverage recent advances in zero-knowledge Succinct Non-interactive Arguments of Knowledge (zk-SNARKs). First, we formulate and construct decentralized anonymous payment schemes (DAP schemes). A DAP scheme enables users to directly pay each other privately: the corresponding transaction hides the payment's origin, destination, and transferred amount. We provide formal definitions and proofs of the construction's security. Second, we build Zero cash, a practical instantiation of our DAP scheme construction. In Zero cash, transactions are less than 1 kB and take under 6 ms to verify - orders of magnitude more efficient than the less-anonymous Zero coin and competitive with plain Bit coin.
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Cites
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Self-citationPinocchio: Nearly Practical Verifiable Computation
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Cited by
Advances and Open Problems in Federated Learning
Kairouz, P., & McMahan, H. B. (2021) · Foundations and Trends in Machine Learning · doi:10.1561/2200000083 · Cited by 7,772
“Most existing SNARK constructions leverage quadratic arithmetic programs [174, 317, 118] and are now available in open-source libraries, such as libsnark [5], and deployed in cryptocurrencies, such as Zcash [57].”
MethodAn Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
Blockchain challenges and opportunities: a survey
Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018) · International Journal of Web and Grid Services · doi:10.1504/ijwgs.2018.095647 · Cited by 3,651
Hyperledger fabric: a distributed operating system for permissioned blockchains
Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., Laventman, G., Manevich, Y., et al. (2018) · Proceedings of the Thirteenth EuroSys Conference · doi:10.1145/3190508.3190538 · Cited by 3,654
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
Metadata
- Authors
- Ben Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E., & Virza, M.
- Venue
- 2014 IEEE Symposium on Security and Privacy
- Publisher
- IEEE
- Published
- 2014-05
- Pages
- 459-474
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W2043007983
- Cited by
- 1,925
- References
- 33
- FWCI
- 34.59
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Ben Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E., & Virza, M. (2014). Zerocash: Decentralized Anonymous Payments from Bitcoin. 2014 IEEE Symposium on Security and Privacy. https://doi.org/10.1109/sp.2014.36
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