Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/143454
Title: | Provably secure group signature schemes from code-based assumptions | Authors: | Ezerman, Martianus Frederic Lee, Hyung Tae Ling, San Nguyen, Khoa Wang, Huaxiong |
Keywords: | Science::Mathematics::Applied mathematics::Information theory Science::Mathematics::Discrete mathematics::Cryptography |
Issue Date: | 2020 | Source: | Ezerman, M. F., Lee, H. T., Ling, S., Nguyen, K., & Wang, H. (2020). Provably secure group signature schemes from code-based assumptions. IEEE Transactions on Information Theory, 66(9), 5754-5773. doi:10.1109/TIT.2020.2976073 | Journal: | IEEE Transactions on Information Theory | Abstract: | We solve an open question in code-based cryptography by introducing two provably secure group signature schemes from code-based assumptions. Our basic scheme satisfies the \textsf{CPA}-anonymity and traceability requirements in the random oracle model, assuming the hardness of the McEliece problem, the Learning Parity with Noise problem, and a variant of the Syndrome Decoding problem. The construction produces smaller key and signature sizes than the previous group signature schemes from lattices, as long as the cardinality of the underlying group does not exceed $2^{24}$, which is roughly comparable to the current population of the Netherlands. We develop the basic scheme further to achieve the strongest anonymity notion, \ie, \textsf{CCA}-anonymity, with a small overhead in terms of efficiency. The feasibility of two proposed schemes is supported by implementation results. Our two schemes are the first in their respective classes of provably secure groups signature schemes. Additionally, the techniques introduced in this work might be of independent interest. These are a new verifiable encryption protocol for the randomized McEliece encryption and a novel approach to design formal security reductions from the Syndrome Decoding problem. | URI: | https://hdl.handle.net/10356/143454 | ISSN: | 0018-9448 | DOI: | 10.1109/TIT.2020.2976073 | Rights: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIT.2020.2976073 | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SPMS Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
codeGS_IEEE_TIT_Final.pdf | 431.12 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
20
12
Updated on Jan 18, 2023
Web of ScienceTM
Citations
20
10
Updated on Jan 31, 2023
Page view(s)
190
Updated on Feb 3, 2023
Download(s) 50
99
Updated on Feb 3, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.