Proving multiplicative relations for lattice commitments in batch

Abstract Lattice-based commitment schemes and their associated zero-knowledge proofs are essential building blocks for advanced lattice-based cryptographic protocols. In particular, proofs of algebraic relations among committed messages are widely used in privacy-preserving protocols such as range proofs. At CRYPTO 2020, Attema et al. proposed practical proofs for valid openings and multiplicative relations among committed values using the BDLOP commitment scheme. In their work, all commitments are generated using the same short randomness. In this paper, we consider a batch setting where commitments are generated using $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> independent random vectors and present a batch valid opening proof. Our construction generalizes the approach of Baum et al. by supporting a larger challenge set and removing the requirement for invertible challenge differences. As a result, the proof size scales logarithmically with $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> , rather than linearly. Furthermore, we introduce a product proof for committed messages with shared randomness across these $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> commitment groups. Compared to the naive approach of applying Attema’s product proof once and repeating the opening proof $$\ell -1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ℓ</mml:mi> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> times, our method achieves significantly better communication efficiency.

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Publication Details

Journal
Cybersecurity
Published
2026-01-27
DOI
https://doi.org/10.1186/s42400-025-00521-y
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Proving multiplicative relations for lattice commitments in batch

Mengfan Wang, Dong Fang, Guifang Huang, Lei Hu
Cybersecurity
Cryptography and Data Security
article

Proving multiplicative relations for lattice commitments in batch

Mengfan Wang, Dong Fang, Guifang Huang, Lei Hu
article en

Abstract

Abstract Lattice-based commitment schemes and their associated zero-knowledge proofs are essential building blocks for advanced lattice-based cryptographic protocols. In particular, proofs of algebraic relations among committed messages are widely used in privacy-preserving protocols such as range proofs. At CRYPTO 2020, Attema et al. proposed practical proofs for valid openings and multiplicative relations among committed values using the BDLOP commitment scheme. In their work, all commitments are generated using the same short randomness. In this paper, we consider a batch setting where commitments are generated using $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> independent random vectors and present a batch valid opening proof. Our construction generalizes the approach of Baum et al. by supporting a larger challenge set and removing the requirement for invertible challenge differences. As a result, the proof size scales logarithmically with $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> , rather than linearly. Furthermore, we introduce a product proof for committed messages with shared randomness across these $$\ell$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> commitment groups. Compared to the naive approach of applying Attema’s product proof once and repeating the opening proof $$\ell -1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ℓ</mml:mi> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> times, our method achieves significantly better communication efficiency.

CybersecurityVol. 9(1)
DigitalSpace (United States) (US), Institute of Information Engineering (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 78%
Cryptography and Data Security
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Proving multiplicative relations for lattice commitments in batch — Mengfan Wang, Dong Fang, et al. · Cybersecurity (2026) | TGRS Research Map | TGRS