基于敏感属性聚类的电子病历隐私保护算法  

Privacy Protection Algorithm in Electronic Medical Records Based on Sensitive Attribute Clustering

作　　者：刘光磊[1] 肖辉[1] LIU Guang-lei;XIAO Hui(Information Centre in Wuhan University South-Central Hospital,Wuhan 430072,Hubei Province,P.R.C.)

机构地区：[1]武汉大学中南医院信息中心

出　　处：《中国数字医学》2019年第11期88-90,共3页China Digital Medicine

摘　　要：目的:为了保护电子病历中病人的隐私不被泄漏。方法:在K-匿名算法和L-多样化匿名算法的基础上,不仅仅针对数据关联攻击和同质攻击,还增加了抵抗背景知识的攻击。结果:提出了一种基于敏感属性聚类的电子病历隐私保护算法。结论:所提出的算法比K-匿名算法和L-多样化匿名算法在保护病人隐私方面有更低的隐私泄漏概率。Objective: Aim to protect the privacy in electronic medical records. Methods: Based on K-anonymous algorithm and L-diversity algorithm, not only to prevent from the data joint attack and homomorphic attack, but also background knowledge attack. Results: A sensitive attribute clustering based privacy protection algorithm is brought. Conclusion: The new algorithm can protect the privacy in electronic medical records better than K-anonymous algorithm and L-diversity algorithm.

关 键 词：电子病历 隐私保护 敏感属性 信息聚类 

分 类 号：R197[医药卫生—卫生事业管理] TP309[医药卫生—公共卫生与预防医学]