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Zero-Knowledge Proofs from Learning Parity with Noise: Optimization, Verification, and Application
HAINES, Thomas; MOSAHEB, Rafieh; MUELLER, Johannes et al.
2025In 38th {IEEE} Computer Security Foundations Symposium, {CSF} 2025
Peer reviewed
 

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Abstract :
[en] Zero-Knowledge Proofs (ZKPs) are cryptographic building blocks of many privacy-preserving security protocols. An important research focus in this area is the development of post-quantum ZKPs. These are ZKPs whose security is reduced to computational hardness assumptions that are assumed to be intractable even by scalable quantum computers. In this paper, we study the post-quantum ZKPs of Jain, Krenn, Pietrzak, and Tentes (Asiacrypt 2012). These are the only ZKPs for proving arbitrary binary statements whose security reduces to the Learning Parity with Noise (LPN) problem-a very conservative post-quantum hardness assumption. We make the following contributions to further develop the potential and understanding of these ZKPs. First, we optimize the efficiency of the verifier by several orders of magnitude, making this part as computationally light as that of the prover. Second, we show that the only open source implementation of these ZKPs does not implement them correctly, allowing a malicious prover to convince the verifier of false statements. Third, we formally verify for the first time the security of these (optimized) ZKPs in EasyCrypt. Fourth, we show how these ZKPs can be used to construct the first code-based ZKP of shuffle and verifiable e-voting protocol.
Disciplines :
Computer science
Author, co-author :
HAINES, Thomas;  ANU - Australian National University
MOSAHEB, Rafieh ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > APSIA
MUELLER, Johannes  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > APSIA > Team Johannes MUELLER ; LORIA/INRIA/CNRS
REETIKA, Reetika;  Indian Institute of Space Science and Technology
External co-authors :
yes
Language :
English
Title :
Zero-Knowledge Proofs from Learning Parity with Noise: Optimization, Verification, and Application
Publication date :
2025
Event name :
38th {IEEE} Computer Security Foundations Symposium, {CSF} 2025
Event place :
Santa Cruz, United States - California
Event date :
June 16-20, 2025
Audience :
International
Main work title :
38th {IEEE} Computer Security Foundations Symposium, {CSF} 2025
Publisher :
IEEE, Santa Cruz, United States - California
Collection ISSN :
2374-8303
Pages :
441--456
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 10 June 2025

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