Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/163882
Title: | Bivariate polynomial-based secret sharing schemes with secure secret reconstruction | Authors: | Ding, Jian Ke, Pinhui Lin, Changlu Wang, Huaxiong |
Keywords: | Science::Mathematics | Issue Date: | 2022 | Source: | Ding, J., Ke, P., Lin, C. & Wang, H. (2022). Bivariate polynomial-based secret sharing schemes with secure secret reconstruction. Information Sciences, 593, 398-414. https://dx.doi.org/10.1016/j.ins.2022.02.005 | Project: | RG12/19 RG21/18 (S) |
Journal: | Information Sciences | Abstract: | A (t,n)-threshold scheme with secure secret reconstruction, or a (t,n)-SSR scheme for short, is a (t,n)-threshold scheme against the outside adversary who has no valid share, but can impersonate a participant to take part in the secret reconstruction phase. We point out that previous bivariate polynomial-based (t,n)-SSR schemes, such as those of Harn et al. (Information Sciences 2020), are insecure, which is because the outside adversary may obtain the secret by solving a system of [Formula presented] linear equations. We revise Harn et al. scheme and get a secure (t,n)-SSR scheme based on a symmetric bivariate polynomial for the first time, where t⩽n⩽2t-1. To increase the range of n for a given t, we construct a secure (t,n)-SSR scheme based on an asymmetric bivariate polynomial for the first time, where n⩾t. We find that the share sizes of our schemes are the same or almost the same as other existing insecure (t,n)-SSR schemes based on bivariate polynomials. Moreover, our asymmetric bivariate polynomial-based (t,n)-SSR scheme is more easy to be constructed compared to the Chinese Remainder Theorem-based (t,n)-SSR scheme with the stringent condition on moduli, and their share sizes are almost the same. | URI: | https://hdl.handle.net/10356/163882 | ISSN: | 0020-0255 | DOI: | 10.1016/j.ins.2022.02.005 | Rights: | © 2022 Elsevier Inc. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SPMS Journal Articles |
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