Design and Implementation of Medical Privacy Protection Scheme in Big Data Environment

doi:10.3969/j.issn.1671-1122.2018.09.008

Abstract

Abstract:

With the application of medical information systems, data sharing and data analysis make medical privacy more transparent, and a single data encryption technology is difficult to solve the problem of privacy leakage, so it needs a complete medical privacy protection program. This paper proposes a privacy protection scheme under the big data environment. This scheme combines the big data platform technology and storage technology to desensitize the medical data, formulate privacy protection strategies, and call different desensitization methods according to different desensitization schemes, which can effectively protect privacy information. The core functional modules of the system are programmed and implemented. In the system implementation, the distribution characteristics of the data can be ensured, and the processed data set no longer contains individual private information. System performance was tested to verify the feasibility and reliability of the system.

Key words: big data, privacy protection, data desensitization, privacy leakage

CLC Number:

TP309

Ronglei HU, Yanqiong HE, Ping ZENG, Xiaohong FAN. Design and Implementation of Medical Privacy Protection Scheme in Big Data Environment[J]. Netinfo Security, 2018, 18(9): 48-54.

Figures/Tables 10

References 10

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