计算机科学
随机预言
零知识证明
离散对数
承诺方案
稳健性
多项式的
方案(数学)
理论计算机科学
对数
安全参数
密码学
数学
算法
公钥密码术
计算机安全
加密
数学分析
程序设计语言
作者
Peiheng Zhang,Min Tang,Willy Susilo,Mingwu Zhang
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2024-03-01
卷期号:11 (5): 8078-8089
标识
DOI:10.1109/jiot.2023.3319338
摘要
Polynomial commitment schemes (PCS) are fundamental components that can effectively solve the problems arising from the combination of IoT and blockchain. These allow a committer to commit to a polynomial and then later evaluate the committed polynomial at an arbitrary challenge point along with a proof of valid, without revealing any additional information about the polynomial. Recent works have presented polynomial commitment schemes based on the discrete logarithm assumption. Their schemes do not require a trusted setup, and the verifier uses homomorphism to check the polynomial evaluation proofs. However, these schemes require two-party interactions and satisfy only special soundness and special honest verifier zero-knowledge, which are infeasible for some non-simultaneous online or decentralized applications. In this paper, we propose a novel polynomial commitment scheme inspired by the idea of the Fiat-Shamir heuristic. Our scheme is non-interactive between the committer and the verifier. Instead of waiting for the challenge values from the verifier, the committer generates the values by accessing a random oracle. Moreover, it satisfies computational soundness and zero-knowledge by using a group operation to enhance the unpredictability of challenge values. We also propose a trapdoor commitment scheme to ensure the honest use of challenge values by the committers. Finally, we present the security and performance analysis of our scheme, which shows that our scheme is feasible with an acceptable time overhead.
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