在恶意模型下的切比舍夫距离的安全计算协议
Xin Liu1,2, Weitong Chen1, Lu Peng3
1School of Digtial and Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, 014010, China.
Scientific reports
|July 24, 2024
概括
本研究介绍了切比舍夫远程计算的安全协议,增强电子档案中的数据隐私. 这些方法确保安全的相似度测量和数据共享,即使与恶意参与者.
科学领域:
- 密码学 密码学 密码学 密码学
- 计算机科学 计算机科学
- 数据安全 数据安全
背景情况:
- 安全的多方计算 (SMC) 对于保密数据分析至关重要.
- 切比舍夫距离计算对于电子档案中的相似性,分类和聚类至关重要.
- 现有的方法缺乏对敏感档案数据的强有力的安全性.
研究的目的:
- 为切比舍夫距离计算提出安全协议.
- 加强电子档案管理系统中的数据安全性.
- 在敏感数据查询和共享期间确保隐私.
主要方法:
- 在使用NTRU加密系统和矢量编码的半诚实模型下开发了切比舍夫距离的安全协议.
- 将切比舍夫距离计算转换为保密向量的内乘积.
- 引入了一个安全的协议,用于恶意模型场景,使用数字承诺和相互解密.
主要成果:
- 使用模型范式验证了半诚实协议的安全性.
- 使用真实/理想模型范式,确认恶意协议的安全性.
- 通过理论分析和模拟,证明了效率和实际适用性.
结论:
- 拟议的协议为电子档案提供高效和安全的切比舍夫远程计算.
- 这些方法显著提高了敏感档案信息的安全性.
- 这些协议对半诚实和恶意对抗模型都进行了验证.
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