A conditional privacy-preserving fair electronic payment scheme based on blockchain without trusted third party
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2023
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| _version_ | 1866901126353256448 |
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| author | Hatefi, Zahra Bayat, Majid Alaghband, Mahdi R. Hamian, Negin Pournaghi, Seyed Morteza |
| author_facet | Hatefi, Zahra Bayat, Majid Alaghband, Mahdi R. Hamian, Negin Pournaghi, Seyed Morteza |
| contents | There is an increasing demand for the security of electronic payment systems. The importance of characteristics such as preventing double-spending, tracing malicious users, anonymity and privacy-preserving of users is mandatory for achieving the goals of electronic payment systems. Blockchain technology is useful in solving many problems such as bottlenecks, delays, and operational risks in the financial industry. In this paper, a blockchain-based electronic payment scheme is proposed to protect honest users anonymity and privacy with the capability of tracing and punishing malicious users without a need for a trusted server. Accordingly, several algorithms were used, including a fair blind digital signature scheme, a secret sharing scheme, and pseudonyms to maintain anonymity. The proposed scheme has different properties such as traceability, conditional privacy, revocation, etc. In addition, users generated pseudonym by pre-computations has made the scheme perform well. Finally, the simulation and comparison indicated the performance and security of this work. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_1007_s12652-021-03672-1 |
| institution | Zenodo |
| language | eng |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A conditional privacy-preserving fair electronic payment scheme based on blockchain without trusted third party Hatefi, Zahra Bayat, Majid Alaghband, Mahdi R. Hamian, Negin Pournaghi, Seyed Morteza Anonymity Blockchain Conditional privacy Electronic payment ProVerif Traceability There is an increasing demand for the security of electronic payment systems. The importance of characteristics such as preventing double-spending, tracing malicious users, anonymity and privacy-preserving of users is mandatory for achieving the goals of electronic payment systems. Blockchain technology is useful in solving many problems such as bottlenecks, delays, and operational risks in the financial industry. In this paper, a blockchain-based electronic payment scheme is proposed to protect honest users anonymity and privacy with the capability of tracing and punishing malicious users without a need for a trusted server. Accordingly, several algorithms were used, including a fair blind digital signature scheme, a secret sharing scheme, and pseudonyms to maintain anonymity. The proposed scheme has different properties such as traceability, conditional privacy, revocation, etc. In addition, users generated pseudonym by pre-computations has made the scheme perform well. Finally, the simulation and comparison indicated the performance and security of this work. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. |
| title | A conditional privacy-preserving fair electronic payment scheme based on blockchain without trusted third party |
| topic | Anonymity Blockchain Conditional privacy Electronic payment ProVerif Traceability |
| url | https://doi.org/10.1007/s12652-021-03672-1 |