4.5 Article

Provably Secure Group Signature Schemes From Code-Based Assumptions

期刊

IEEE TRANSACTIONS ON INFORMATION THEORY
卷 66, 期 9, 页码 5754-5773

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2020.2976073

关键词

Protocols; Encryption; Public key; Decoding; Lattices; Code-based group signature; zero-knowledge protocol; McEliece encryption; syndrome decoding

资金

  1. Singapore Ministry of Education [MOE2013-T2-1-041, MOE2016-T2-2-014(S)]
  2. National Research Foundation (NRF) through the Ministry of Science and ICT (MSIT), Korea Government [NRF-2018R1C1B6008476]
  3. Gopalakrishnan-NTU Presidential Postdoctoral Fellowship 2018
  4. National Research Foundation, Singapore Prime Minister's Office, under its Strategic Capability Research Centres Funding Initiative
  5. [TL-9014101684-01]

向作者/读者索取更多资源

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 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, i.e., 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.

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