Quantum-based Privacy-Preserving Sealed-bid Auction on the Blockchain
Figure: Visual representation of our proposed protocol. The dashed lines represent the quantum channels, and the solid lines represent classical channels.
Summary
Sealed-bid auction is one of the major protocols used in the electronic commerce industry. Recently, many schemes have been proposed to implement sealed-bid auction protocols based on quantum computing, while other schemes have adopted the blockchain. However, each of the previous proposals has focused on a few sealed-bid auction features while simply ignoring others. A robust sealed-bid auction protocol should comprise all important features and satisfy all requirements. We design a sealed-bid auction protocol using quantum-based blockchain, in which the transactions of the sealed-bid auction are stored using the blockchain and supported by quantum computation and communication to enhance security and protect privacy. Our proposed protocol takes advantage of both quantum computing and blockchain technology to ensure essential features and requirements. Security analysis, evaluation, and comparisons are presented to demonstrate the advantages of our protocol.
Keywords
sealed-bid auction, quantum-based blockchain, privacy-preserving
2021 Journal Impact Factor: 2.840
Publication date: September 2021
Links
References
| APA | Abulkasim, H., Mashatan, A., & Ghose, S. (2021). Quantum-based privacy-preserving sealed-bid auction on the blockchain. Optik, 242, 167039. |
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| BibTeX | @article{ABULKASIM2021167039, title = {Quantum-based Privacy-Preserving Sealed-bid Auction on the Blockchain}, author = {Abulkasim, Hussein and Mashatan, Atefeh and Ghose, Shohini}, journal = {Optik}, year = {2021}, doi= {10.1016/j.ijleo.2021.167039} } |
| DOI | https://doi.org/10.1016/j.ijleo.2021.167039 |
| IEEE | H. Abulkasim, A. Mashatan, and S. Ghose, “Quantum-based Privacy-Preserving Sealed-bid Auction on the Blockchain,” Optik: International Journal for Light and Electron, vol. 242, p. 167039, Sep. 2021. |
| ISSN | 0030-4026 |
Funding
This research was supported, in part, by the Natural Sciences and Engineering Research Council (external link, opens in new window) and NXM Labs Inc. (external link, opens in new window)