DHVRF Algorithm Testing Dataset
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The DHVRF algorithm testing dataset is mainly used to test the characteristics of the DHVRF algorithm and its application in consensus mechanisms on different platforms. The DHVRF algorithm designed by the research team can support the operation of 5 types of consensus mechanisms on mainstream Intel and ARM platforms for high security level random number generation algorithms. To verify that the random numbers generated by the DHVRF method can be correctly validated. The project mainly deployed and tested the performance of DHVRF methods in general NIST software, including over 20 indicators such as frequency test, cumulative sum test, and run test. Collection plan: The folder name of the test dataset is "DHVRF algorithm test dataset/". The "DHVRF generated random number_2. txt" and "NIST software analysis result random number_2. txt" in this folder respectively refer to a verifiable random number generated by the DHVRF algorithm and the NIST software analysis result for that random number. In addition, the "DHVRF Algorithm" folder also includes a sub folder called "Analysis Results Summary of NIST Software", which records the analysis results of NIST software on an additional 50 random numbers ("Rxxx. txt"). Time and location: This dataset is test data collected by the research unit "Peking University" from 2021 to 2023. 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.
DHVRF算法（DHVRF Algorithm）测试数据集主要用于测试DHVRF算法的特性，以及该算法在不同平台共识机制中的应用。本研究团队设计的DHVRF算法可在主流Intel、ARM平台上支持5类共识机制运行，实现高安全等级的随机数生成。为验证DHVRF方法生成的随机数可被正确验证，本项目主要在通用NIST软件中部署并测试了DHVRF方法的性能，涵盖频率测试、累计和测试、游程测试等20余项指标。采集方案：本测试数据集的文件夹命名为“DHVRF算法测试数据集/”，该文件夹内的“DHVRF生成随机数_2.txt”与“NIST软件随机数分析结果_2.txt”分别对应DHVRF算法生成的可验证随机数，以及该随机数的NIST软件分析结果。此外，“DHVRF算法”文件夹还包含名为“NIST软件分析结果汇总”的子文件夹，其中记录了NIST软件对额外50个随机数（“Rxxx.txt”）的分析结果。采集时间与所属单位：本数据集由北京大学（Peking University）研究团队于2021年至2023年间采集完成。运行环境说明：数据采集在以下环境中完成：硬件环境：支持Intel、ARM等通用计算平台；系统环境：Windows 11与Ubuntu 20.04。
