The Security of Medical Data on Internet Based on Differential Privacy Technology

被引:0
|
作者
Lv, Zhihan [1 ]
Piccialli, Francesco [2 ]
机构
[1] Qingdao Univ, Sch Data Sci & Software Engn, 308 Ningxia Rd, Qingdao, Peoples R China
[2] Univ Naples Federico II, Dept Matemath & Applicat Renato Caccioppoli, Via Cinthia, I-80126 Naples, Italy
基金
中国国家自然科学基金;
关键词
DP; k-anonymity; privacy leakage risk; information loss; medical data; HEALTH-CARE; BIG DATA; FDA APPROVAL; SAFETY; MANAGEMENT; EFFICACY;
D O I
10.1145/3382769
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The study aims at discussing the security of medical data in the Internet era. By using k-anonymity (K-A) and differential privacy (DP), an algorithm model combining K-A and DP was proposed, which was simulated through the experiments. In the Magic and EIA datasets, the algorithm constructed was compared with K-A and the L-diversity model to verify the performance of the model. The model constructed based on DP had the lowest privacy-leakage risks, which increased with the number of identifiers in the Magic and EIA datasets, and the information disclosure was the least. In addition, in its usability analysis, it was found that its value was the most obviously improved and its operation efficiency was the highest. The K-A-DP algorithm can effectively reduce the risk of privacy leakage and information loss, and has achieved excellent results. Despite the deficiencies in the process of the experiment, the study still provides a reference for solving the problem of medical data security.
引用
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页数:18
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