医疗辅助诊断系统中新型的双向隐私保护方法

被引：2

作者：

陈磊磊 ^{[1
]}

陈兰香 ^{[1
]}

穆怡 ^{[1
,2
]}

机构：

[1] 福建师范大学数学与信息学院福建省网络安全与密码技术重点实验室

[2] 澳门城市大学数据科学研究院

来源：

密码学报 | 2021年 / 8卷 / 01期

关键词：

医疗辅助诊断; 双向隐私保护; 决策树; 不经意传输;

D O I：

10.13868/j.cnki.jcr.000429

中图分类号：

R-05 [医学与其他学科的关系]; TP309 [安全保密];

学科分类号：

1001 ; 081201 ; 0839 ; 1402 ;

摘要：

为了保护医疗辅助诊断系统中患者的个人隐私,本文提出一种新的结合决策树与不经意传输(Oblivious Transfer, OT)技术的双向隐私保护方法.该方法首先利用决策树对已有诊断信息进行分类来形成辅助诊断,并利用差分隐私确保决策树构建过程中不会泄露数据库的隐私.其次利用OT技术保护查询过程中的隐私,并提出一种决策树索引协议将决策树算法与OT协议有效结合.提出的方法最早将决策树与OT技术应用于医疗辅助诊断系统,并且在客户端进行医疗数据查询并得到准确查询结果的情况下,能够极好地保护客户端、服务器以及数据库的隐私信息,实现更全面的双向隐私保护.理论分析结果表明,本文提出的方法在保护隐私的同时具有较高的通信效率.进一步地,实验结果也表明,提出的方法不仅具有较高的查询效率,同时还具有较高的查询准确率.

引用

页码：167 / 182

页数：16

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