新型抗量子对称密码算法设计文档

本数据集汇集了中国科学院软件研究所密码学研究团队在国家重点研发计划(2021YFB3100100)支持下开发的三种前沿抗量子密码算法方案的详细技术报告，包括：①　基于可调分组密码的消息鉴别码算法设计参数；②　采用更新调柄链接结构的消息鉴别码算法设计参数；③　采用更新调柄链接结构的认证加密算法设计参数。对称密码算法的设计参数文档详细解释了算法的设计参数。算法描述、安全性分析及实现评估报告详细介绍了每个算法设计原理、执行步骤和相关参数选取情况，给出了基于可证明安全理论的算法安全性证明并评估了已知经典攻击和量子攻击的复杂度，同时给出了算法设计时的性能评估方法。这些报告代表了我国在后量子密码学领域的原创性研究成果，特别关注于基于可调分组密码的安全机制设计，旨在应对未来量子计算对传统密码体系的潜在威胁。

This dataset compiles detailed technical reports of three cutting-edge post-quantum cryptographic algorithm schemes developed by the Cryptography Research Team of the Institute of Software, Chinese Academy of Sciences, under the support of the National Key Research and Development Program of China (2021YFB3100100). The reports encompass: 1. Design parameters of the Message Authentication Code (MAC) algorithm based on tweakable block ciphers; 2. Design parameters of the MAC algorithm with updated tweak-linked structure; 3. Design parameters of the authenticated encryption algorithm with updated tweak-linked structure.

The design parameter documents for symmetric cryptographic algorithms elaborate on the design parameters of the respective algorithms. Reports detailing algorithm descriptions, security analyses and implementation evaluations elaborate on the design principles, execution steps and parameter selection criteria for each algorithm, present security proofs of the algorithms based on provable security theory, evaluate the complexity of known classical and quantum attacks targeting these algorithms, and additionally provide the performance evaluation methods developed during the algorithm design process.

These reports represent original research outputs by China in the field of post-quantum cryptography, with a specific focus on the design of security mechanisms based on tweakable block ciphers, and are intended to counter the potential threats that future quantum computing poses to traditional cryptographic systems.

搜集汇总

背景与挑战

背景概述

该数据集包含中国科学院软件研究所开发的三种新型抗量子对称密码算法的详细技术报告，涵盖算法设计参数、安全性分析和实现评估，旨在应对量子计算对传统密码体系的潜在威胁。数据集提供了xlsx和docx格式的8个文件，总数据量为5.11MB。