跨信任域区块链身份认证时延测试数据集

本数据集面向跨信任域区块链身份认证场景，旨在验证在带宽不小于100M、延迟低于50ms的高性能网络环境中，身份认证的响应时延是否能够控制在1秒以内。实验依托模拟系统进行，划分多个信任域，通过身份认证请求与响应的全过程采集数据，覆盖从证书生成、跨域存储、审计验证到身份认证响应的各环节。数据包括结构化元数据（约400KB）、性能日志（约3.58GB）和配置文件（约900KB），总量约3.58GB，具备毫秒级时间精度和身份标识级空间精度，能够精确反映身份认证的动态过程。数据采集采用浏览器开发者工具结合HTTP协议头部时间戳自动提取的方式，避免人工干预误差，并通过10次重复实验取平均值以降低偶然性。质量控制方面，研究团队在数据生成、传输与存储全流程实施异常剔除、日志校验与第三方复测，确保认证结果与时延数据的准确性、完整性和安全性。数据采用完全开放共享方式，可为跨域身份认证系统的性能评估、安全协议优化以及可信身份管理架构研究提供可靠依据，同时在云计算、分布式系统和多域访问控制等领域具有重要的重用价值与推广意义。

This dataset is designed for the cross-trust-domain blockchain identity authentication scenario, aiming to verify whether the response latency of identity authentication can be controlled within 1 second in a high-performance network environment with a bandwidth of no less than 100 Mbps and a latency lower than 50 ms. The experiment is carried out on a simulation system that divides multiple trust domains, and collects data across the entire process of identity authentication requests and responses, covering all stages including certificate generation, cross-domain storage, audit verification, and identity authentication response. The dataset includes structured metadata (approximately 400 KB), performance logs (approximately 3.58 GB), and configuration files (approximately 900 KB), with a total size of about 3.58 GB. It features millisecond-level time precision and identity-level spatial precision, which can accurately reflect the dynamic process of identity authentication. Data collection is implemented by combining browser developer tools with automatic extraction of timestamps from HTTP protocol headers, to eliminate errors caused by manual intervention. In addition, the average value of 10 repeated experiments is taken to reduce contingency. For quality control, the research team has implemented outlier removal, log verification, and third-party retests throughout the entire process of data generation, transmission, and storage, to ensure the accuracy, integrity, and security of authentication results and latency data. The dataset is fully open and shared, which can provide reliable evidence for performance evaluation of cross-domain identity authentication systems, security protocol optimization, and research on trusted identity management architectures. Moreover, it holds significant reuse value and promotional significance in fields such as cloud computing, distributed systems, and multi-domain access control.

搜集汇总

背景与挑战

背景概述

该数据集针对跨信任域区块链身份认证场景，旨在测试高性能网络环境下身份认证响应时延是否低于1秒，覆盖从证书生成到认证响应的全过程。数据包括结构化元数据、性能日志和配置文件，总量约3.58GB，具有高精度和自动化采集特点，并通过质量控制确保准确性。数据集采用开放共享方式，适用于身份认证系统性能评估、安全协议优化及相关领域研究。