蒙古DB注入数据集:一个全面的MongoDB - NoSQL注入尝试和漏洞的综合集合
Rameshwar D L1, Ankush H V1, Prasad B Honnavalli1
1Department of CSE, Research Centre for Information Security, Forensics and Cyber Resilience, PES University, Bangalore, Karnataka 560085, India.
Data in brief
|April 8, 2024
概括
这项研究介绍了MongoDB的400个NoSQL注入命令的新数据集,这对于增强网络安全防御至关重要. 该数据集有助于开发更好的AI模型来检测和防止NoSQL注入攻击.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 数据库管理数据库管理
背景情况:
- 像MongoDB这样的非结构化数据库正在迅速普及.
- 这种增长导致相关的安全漏洞增加.
- 现有的安全措施可能无法充分解决NoSQL注入威胁.
研究的目的:
- 引入针对MongoDB的NoSQL注入攻击的全面数据集.
- 为分析NoSQL注入漏洞提供资源.
- 支持开发先进的安全工具和人工智能模型.
主要方法:
- 收集了MongoDB的400个NoSQL注入命令.
- 将命令分类为221个恶意命令和179个良性命令.
- 组合手动创建和网络抓取的命令,用于数据集策划.
- 包括简单和复杂的混合,增强的命令.
主要成果:
- 现在可以获得400个NoSQL注入命令的精选数据集.
- 数据集包含恶意和良性命令示例.
- 这些数据适用于机器学习和安全分析.
结论:
- 该数据集是安全专业人员和爱好者们的宝贵资源.
- 它可以用来训练人工智能模型,以提高攻击检测准确度.
- 数据集可以增强,以创建更强大的安全工具来防止NoSQL注入.
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