一种保护隐私的HLA归算方法,采用同态加密
Hakin Kim1, Intak Hwang2, Yongsoo Song2
1Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea.
iScience
|October 7, 2025
概括
我们开发了privateHLA,这是一种使用同型加密的人类白细胞抗原 (HLA) 赋值的安全方法. 这种方法可以保护客户端数据隐私和云服务器上的模型安全性.
科学领域:
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 人类白细胞抗原 (HLA) 归算方法使用单核酸多态 (SNP) 预测基因型.
- 现有的本地方法需要大型,往往无法使用的HLA参考面板.
- 基于云计算的归算提供了方便性,但也引发了数据隐私和模型安全问题.
研究的目的:
- 开发一种安全的人类白细胞抗原 (HLA) 归算方法,用于基于云计算的外包.
- 解决与上传敏感基因型数据和保护基于云的模型相关的隐私漏洞.
- 与现有技术相比,评估新型安全归算方法的性能.
主要方法:
- 开发了privateHLA,这是第一个使用同态加密的安全HLA归算方法.
- 在云服务器上实施安全的外包HLA归算,保护客户端数据和模型完整性.
- 与基于纯文本的方法 (如SNP2HLA和CookHLA) 相比,私人HLA的准确性和性能.
主要成果:
- privateHLA成功地在外包服务器上执行安全的HLA归算,保护客户端数据和模型隐私.
- 与SNP2HLA.LA相比,该方法显示出更高的性能.
- 精度略低于基于纯文本的CookHLA方法,表明安全性和精度之间的权衡.
结论:
- 同型加密可实现基于云的安全和私有HLA归算,减轻数据滥用和模型泄露的风险.
- privateHLA代表了保护隐私的生物信息学工具的重大进步.
- 进一步的研究可能将重点放在优化精度,以匹配或超过纯文本方法,同时保持强大的安全性.
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