属性加密算法用于网络健康数据隐私保护  

Privacy Protection of Health Data for Network Based on Attribute-based Encryption

作　　者：陈向阳[1,2] 凌宝红 胡东辉[2] CHEN Xiangyang;L;HU Donghui(Public Fundamental Department of Anqing Medical College,Anqing 246052,China;Information Engineering of Anhui Broadcasting Movie and Television College,Hefei 230022,China;School of Computer and Information,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]安庆医药高等专科学校公共基础部,安徽安庆246052 [2]合肥工业大学计算机与信息学院,安徽合肥230009 [3]安徽广播影视技术职业学院信息工程系,安徽合肥230022

出　　处：《安庆师范大学学报（自然科学版）》2018年第1期56-59,共4页Journal of Anqing Normal University(Natural Science Edition)

基　　金：安徽省高校自然科学研究项目(KJ2017A734);安徽省自然科学基金(1508085MF115);2016年高校优秀中青年骨干人才国内访学研修重点项目(gxfx ZD2016336)

摘　　要：互联网的开放性和互通性使用户的个人资料和健康数据面临着被盗取、偷窥或滥用的风险,所以对于健康数据的隐私保护亟待加强。采用属性加密算法对用户存储上传的数据进行加密,用户可以方便地记录日常运动、健康和饮食数据。在实现互联网模式医疗健康服务的同时,有效保护了用户的隐私。The openness and interoperability of the Internet makes the user＇s personal data and health data face the risk of being stolen, peeping or abusing, so the privacy protection of the health data needs to be strengthened immediately. In this work, users＇ data are encrypted with attribute-based encryption, and users are able to easily note their training log, health indicators and diet data. By this way, the propped method can protect users＇ privacy as well as achieve internet-based medical and health services.

关 键 词：健康数据 咨询 属性加密 隐私保护 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]