Chemically-motivated/CyberSecurityDataset

该数据集提供了与网络安全相关的精选数据点，重点关注渗透测试、已知漏洞和漏洞分析。它旨在帮助研究人员、教育工作者和开发者构建用于网络安全应用的AI工具。数据集包含有关漏洞、渗透测试技术的标记信息，并组织成支持开发入侵检测系统、漏洞分析工具和红队模拟的形式。数据以CSV和JSON格式提供，适用于开发机器学习模型、训练渗透测试AI代理以及构建漏洞分析工具等用途。数据集由Canstralian团队策划，数据来源于公开的CVE数据库、漏洞库和研究论文，并经过处理以确保符合伦理准则。

This dataset provides a collection of curated data points related to cybersecurity, focusing on penetration testing, known exploits, and vulnerability analysis. It is intended to aid researchers, educators, and developers in building AI tools for cybersecurity applications. The dataset contains labeled information about exploits, vulnerabilities, and penetration testing techniques, organized to assist in the development of tools like intrusion detection systems, exploit analyzers, and red team simulations. The data is curated with a focus on real-world scenarios, offering a valuable resource for building advanced cybersecurity solutions.