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Open AccessArticle

An Information Theoretically Secure E-Lottery Scheme Based on Symmetric Bivariate Polynomials

1
School of Computer Science, Wuhan University of Technology, Wuhan 430070, China
2
School of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
3
Computer School, Central China Normal University, Wuhan 430079, China
4
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 43301, Taiwan
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(1), 88; https://doi.org/10.3390/sym11010088
Received: 30 November 2018 / Revised: 2 January 2019 / Accepted: 3 January 2019 / Published: 15 January 2019
(This article belongs to the Special Issue Symmetry in Computing Theory and Application)
E-lottery schemes have attracted much interest from both industry and academia recently, because they are not only useful to raise funds for charity institutions, but also can be used as the major building blocks to design micro-payment systems. In the literature, a number of e-lottery schemes have been introduced over the last two decades. However, most of these schemes rely on some computational assumptions. In this paper, we introduce a novel e-lottery scheme that achieves information theoretical security. Our proposed scheme is designed using symmetric bivariate polynomials, and it satisfies the required security properties, such as correctness, unpredictability, verifiability, and robustness. Moreover, the winning number is generated in a distributed fashion, so that no trusted third party needs to be involved and the danger of a single point of failure is minimized. View Full-Text
Keywords: e-lottery; symmetric bivariate polynomial; verifiable secret sharing; information theoretical security e-lottery; symmetric bivariate polynomial; verifiable secret sharing; information theoretical security
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MDPI and ACS Style

Xia, Z.; Liu, Y.; Hsu, C.-F.; Chang, C.-C. An Information Theoretically Secure E-Lottery Scheme Based on Symmetric Bivariate Polynomials. Symmetry 2019, 11, 88.

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