相对关系的诅咒对于关系数据库的强大的指纹
Tianxi Ji1, Emre Yilmaz2, Erman Ayday1
1Case Western Reserve University.
概括
数据库指纹很容易受到相关性攻击. 新的缓解技术通过保护实用性和显著减少指纹扭曲来保护数据,即使攻击者知道相关性模型.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 数据管理数据管理
背景情况:
- 数据库指纹对防止数据泄露和未经授权的共享至关重要.
- 现有的方法容易受到利用数据相关性的复杂攻击.
研究的目的:
- 识别当前数据库指纹的漏洞,以防止相关性攻击.
- 开发强大的缓解技术,以应对这些攻击,同时保持数据实用性.
主要方法:
- 对列式,行式和集成相关性攻击的证实脆弱性.
- 开发了适用于现有的指纹采集方案的后处理缓解技术.
- 在真实世界的关系数据库上经验评估攻击和防御.
主要成果:
- 相对应攻击可以扭曲指纹位的很大比例 (例如,64.8%的数据修改为14.2%).
- 拟议的缓解技术大大减少了对集成攻击的扭曲 (例如,到3%).
- 即使攻击者拥有相关性模型,缓解技术仍然有效.
结论:
- 现有的数据库指纹采集系统容易受到基于关联的攻击.
- 拟议的缓解技术为这些攻击提供了强大的保护.
- 这些技术保持了数据库的实用性,并提高了整体数据安全性.
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