通过单一和完整的链接使用完全同态加密的等级集群
Lynin Sokhonn1, Yun-Soo Park1, Mun-Kyu Lee2
1Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究介绍了使用同态加密 (HE) 的安全等级集群. 这种新的方法可以通过外包计算来实现私人数据分析,而不会透露敏感信息.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学 密码学
- 数据分析 数据分析
背景情况:
- 层次集群是常见的,但对外包给服务器的敏感数据构成隐私风险.
- 现有的方法需要访问原始数据,从而损害了机密性.
研究的目的:
- 开发一种使用同态加密 (HE) 的隐私保护等级集群方法.
- 为了使敏感数据聚类任务的安全外包.
主要方法:
- 整合Cheon-Kim-Kim-Song同态加密 (HE) 进行数据分析.
- 开发一种合作方法来对加密距离进行排序,涉及数据所有者和服务器.
- 应用到单一链接和完整链接等级集群指标.
主要成果:
- 在不暴露原始数据的情况下,证明了安全的等级分类.
- 成功地将HE应用于单一和完整的链接方法.
- 合作分类方法减轻了高等教育的资源密集性.
结论:
- 拟议的方法确保在层次聚类过程中数据的保密性.
- 这种方法促进了对敏感数据分析的安全外包.
- 它为保护隐私的数据挖掘提供了一个实用的解决方案.
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