Data Privacy Protection in Medical Alliance Chain Based on K-Anonymity

被引：0
|
作者：
Sun, Hui [1 ]
Huang, Cheng [1 ]
Cheng, Xu [1 ]
Chen, Fulong [1 ,2 ]
机构：
[1] Anhui Normal Univ, Sch Comp & Informat, Wuhu, Peoples R China
[2] Anhui Prov Key Lab Network & Informat Secur, Wuhu, Peoples R China
来源：
CYBERSPACE SAFETY AND SECURITY, PT I | 2020年 / 11982卷
基金：
中国国家自然科学基金;
关键词：
K-anonymity; Data slicing; Data iteration; Privacy protection;
D O I：
10.1007/978-3-030-37337-5_20
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
At present, there are many threats to medical data security. Because of the different standards of data storage and system, it is very difficult to share medical data and protect data privacy. This paper proposes a data privacy protection method based on K-anonymity for medical alliance chain. The data privacy protection method of Medical Alliance chain in this paper consists of four steps: (1) constructing equivalent classes; (2) medical data slicing; (3) data iteration; (4) medical data reorganization. The scheme of data privacy protection in Medical Alliance chain proposed in this paper has high security, no trusted third party and low energy consumption. It is a privacy protection method suitable for application and medical alliance chain data.
引用
收藏
页码：258 / 264
页数：7
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