Research on medical data protection based on differential privacy

Yaping Yang; Jiaqing Shi; Shiyi Wang

doi:10.1117/12.2642608

28 July 2022 Research on medical data protection based on differential privacy

Yaping Yang, Jiaqing Shi, Shiyi Wang

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123030I (2022) https://doi.org/10.1117/12.2642608
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

With the rapid development of science and technology and medical informatization, medical data has emerged on a large scale. Although medical data can provide convenient conditions for data analysis, data mining and intelligent diagnosis, the huge medical data set involves a large amount of patient private information, and there is a risk of leakage. Many existing medical institutions use databases or cloud servers to store medical data, which are also vulnerable to attacks and data leakage. The second is that third-party service providers may illegally sell the original client data. Aiming at these problems, this paper proposes a differential privacy scheme based on Laplace and summary matrix, which solves the problems of large statistical information error, low accuracy and high time and space complexity of the algorithm in the current differential privacy model. And the scheme has higher availability and is suitable for data of different scales.

Citation Download Citation

Yaping Yang, Jiaqing Shi, and Shiyi Wang "Research on medical data protection based on differential privacy", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123030I (28 July 2022); https://doi.org/10.1117/12.2642608

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