CCA-Kyber512 Algorithm Testing Dataset

The CCA-Kyber512 algorithm testing dataset is mainly used to test the operation of the CCA-Kyber512 algorithm. The research group has conducted research on side channel attack defense for lattice cryptography algorithms. Specifically, in response to the selected cryptographic algorithm Kyber for the post quantum cryptography PQC standardization project at the National Institute of Standards and Technology (NIST) in the United States, the research group has implemented the adaptive electromagnetic side channel attack method CCA-Kyber512 by carefully constructing ciphertext. Collection plan: The test dataset can be accessed through the IEEE data interface: https://dx.doi.org/10.21227/qbxp-ze66 Download. Meanwhile, the test dataset is mainly divided into two subdirectories: Real_ SK and Trace_ Data. In Real_ In the sk folder, the research group provided a randomly generated key dataset. In Trace_ In the data folder, the research group provides tracking data generated from the selected password text. Time and location: This dataset is test data collected by the participating unit "School of Mathematical Sciences, Beihang University" during 2021. Equipment situation: Data collection is processed in the following environment: hardware environment: supports general computing platforms such as Intel and ARM; System environment: Windows 11 and Ubuntu 20.04.

CCA-Kyber512算法测试数据集主要用于测试CCA-Kyber512算法的运行性能。本研究团队针对格密码算法开展了侧信道攻击防御相关研究。具体而言，针对美国国家标准与技术研究院（National Institute of Standards and Technology, NIST）后量子密码（Post-Quantum Cryptography, PQC）标准化项目所选定的加密算法Kyber，本研究团队通过精心构造密文，实现了自适应电磁侧信道攻击方法CCA-Kyber512。
数据集采集方案：该测试数据集可通过IEEE数据接口https://dx.doi.org/10.21227/qbxp-ze66下载获取。同时，该测试数据集主要分为两个子目录：Real_SK与Trace_Data。其中Real_SK文件夹内存储了本研究团队生成的随机密钥数据集；Trace_Data文件夹内则存储了由选定密文生成的跟踪数据集。
数据集采集时间与来源：本数据集为参与单位北京航空航天大学数学科学学院于2021年采集的测试数据。
设备环境：数据采集基于以下软硬件环境：硬件环境支持Intel、ARM等通用计算平台；系统环境涵盖Windows 11与Ubuntu 20.04。

搜集汇总

背景与挑战

背景概述

该数据集是用于测试CCA-Kyber512算法的测试数据集，专注于后量子密码算法Kyber的侧信道攻击防御研究，包含随机生成的密钥数据和电磁跟踪数据，适用于Intel、ARM等通用计算平台，数据收集于2021年。