模- lwe公钥加密的极坐标码:Kyber的例子

Iason Papadopoulos, Jiabo Wang
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引用次数: 1

摘要

在现代社会,互联网是最常用的通信手段之一。因此,安全的信息传输不可避免地具有重要意义。现在的计算机使用基于算术运算的加密方法将信息转换为密文,攻击者几乎不可能使用传统计算机进行反向工程。最近,已经证明这在后量子环境中是可能的,因为攻击者可以使用相当大的量子计算机。随着量子计算机技术的进步,现在比以往任何时候都更有必要构建既不能使用经典计算机也不能使用量子计算机的加密方案。美国国家技术与标准研究所(NIST)组织了一场竞赛,并提出了许多加密方案。NIST已经确定了一种后量子时代的标准化算法。该算法被称为CRYSTALS-Kyber,基于带误差的模块学习(MLWE)。本文研究了如何使用纠错码来产生一些额外的解密失败率(DFR),并利用它来重新调整Kyber的参数以追求更高的安全性。通过应用Polar Codes, Kyber的安全性在一组新参数下提高了54.4%,同时将解密失败率保持在NIST设定的可接受上限以下。
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Polar Codes for Module-LWE Public Key Encryption: The Case of Kyber
In modern society, the Internet is one of the most used means of communication. Thus, secure information transfer is inevitably of major importance. Computers nowadays use encryption methods based on arithmetic operations to turn messages into ciphertexts that are practically impossible for an attacker to reverse-engineer using a classical computer. Lately, it has been proven that this is possible in a post-quantum setting where quantum computers of considerable size are available to attackers. With the advance of technology of quantum computers, it is now more necessary than ever before to construct encryption schemes that cannot be broken either using a classical or a quantum computer. The National Institute of Technology and Standards (NIST) has orchestrated a competition, and numerous encryption schemes have been proposed. The NIST has identified one algorithm to be standardized for the post-quantum era. This algorithm is called CRYSTALS-Kyber and is based on module learning with errors (MLWE). This paper investigates how to apply error correcting codes in order to create some excess decryption failure rate (DFR) and to take advantage of that in order to re-tune Kyber’s parameters in the pursuit of higher security. By applying Polar Codes, Kyber’s security was managed to be increased by 54.4% under a new set of parameters, while keeping the decryption failure rate well below the upper acceptable bound set by the NIST.
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