跨链互通验证平台运行与应用过程观测数据集
收藏资源简介:
本数据集源于构建的高效安全自适跨链互通验证平台及跨链应用典型场景试验验证融合平台,聚焦跨链互通技术作为价值互联网核心基础设施的应用需求,针对其性能稳定性、互操作安全性等研究缺乏高质量数据支撑的痛点而产生。数据采集采用Python脚本编写与HTTP请求模拟接口调用的自动化方式,在带宽不小于100Mbps的网络环境中进行14天重复实验,系统记录接口请求、响应及交易全量信息;处理阶段通过异常数据剔除、场景化分组、数据标注优化质量,施加核心业务键唯一性约束与逻辑一致性校验,结合NTP时间同步、人工抽样验证等措施保障数据完整性与准确性。数据集总容量100.0MB,含5个数据文件夹,以CSV格式存储,涵盖牛肉供应链、跨链文件签呈流转、AIGC版权保护、医疗数据合作等典型场景,整合了跨链平台运行日志、单链与跨链交易数据、多场景应用模拟数据等多维信息,实现跨链事务全生命周期完整观测。该数据集可为跨链协议优化、互操作安全性分析、交易延迟预测等研究提供核心数据支撑,对推动跨链互通技术的学术研究与产业规模化应用具有重要意义。
This dataset originates from the integrated experimental verification platform built for an efficient, secure and adaptive cross-chain interoperability verification system and typical cross-chain application scenario tests. It focuses on the application requirements of cross-chain interoperability technology as the core infrastructure of the Value Internet, and is developed to address the pain point that researches on its performance stability, interoperability security and other aspects lack support from high-quality data. For data collection, an automated method combining Python script development and HTTP request-based interface call simulation was adopted. 14-day repeated experiments were carried out in a network environment with bandwidth no less than 100 Mbps, and the system recorded full information of interface requests, responses and transactions. In the data processing phase, outlier removal, scenario-based grouping and data annotation were implemented to optimize data quality, with uniqueness constraints of core business keys and logical consistency verification applied, alongside measures including NTP time synchronization and manual sampling verification to guarantee data integrity and accuracy. The dataset has a total capacity of 100.0 MB, contains 5 data folders, and is stored in CSV format. It covers typical scenarios such as beef supply chain, cross-chain document approval and circulation, AIGC copyright protection, and medical data collaboration, integrating multi-dimensional information including cross-chain platform operation logs, single-chain and cross-chain transaction data, and multi-scenario application simulation data, enabling complete observation of the full lifecycle of cross-chain transactions. This dataset can provide core data support for researches such as cross-chain protocol optimization, interoperability security analysis and transaction latency prediction, and holds great significance for promoting the academic research and industrial large-scale application of cross-chain interoperability technology.




