Shi Bai, Hansraj Jangir, Tran Ngo, William Youmans
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引用次数: 0
摘要
我们描述了一种启发式多项式时间算法,用于在给定足够数量的环样本时破解多密钥 NTRU 问题。按照 Arora-Ge 算法(ICALP '11)的线性化方法,我们的算法使用公开密钥构建了一个线性方程组。我们的主要贡献在于内核缩减技术,它能从秩为 n 的线性空间中提取秘密向量,其中 n 是定义 NTRU 的环的阶数。与 Kim-Lee 的算法(《设计、编码和密码学》,'23)相比,我们的算法不需要事先知道秘钥的汉明权重。我们的算法基于一些可信的启发式方法。我们演示了实验,结果表明该算法在实际应用中效果很好,与加密参数接近。
An algebraic algorithm for breaking NTRU with multiple keys
We describe a heuristic polynomial-time algorithm for breaking the NTRU problem with multiple keys when given a sufficient number of ring samples. Following the linearization approach of the Arora-Ge algorithm (ICALP ’11), our algorithm constructs a system of linear equations using the public keys. Our main contribution is a kernel reduction technique that extracts the secret vector from a linear space of rank n, where n is the degree of the ring in which NTRU is defined. Compared to the algorithm of Kim-Lee (Designs, Codes and Cryptography, ’23), our algorithm does not require prior knowledge of the Hamming weight of the secret keys. Our algorithm is based on some plausible heuristics. We demonstrate experiments and show that the algorithm works quite well in practice, with close to cryptographic parameters.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.