Privacy Data Security Policy of Medical Cloud Platform Based on Lightweight Algorithm Model

Author:

Liu JiMin1ORCID,Zhao HuiQi1ORCID,Liu Chen2ORCID,Jia QuanQiu3ORCID

Affiliation:

1. Department of Intelligence Equipment, Shandong University of Science and Technology, Tai’an 271000, Shandong, China

2. State Grid Nanjing Power Supply Company, Nanjing 210000, Jiangsu, China

3. School of Taishan Technology, Shandong University of Science and Technology, Tai’an 271000, Shandong, China

Abstract

The deterioration of aging population has seriously hindered the development of society. Medical cloud platform has been widely used to alleviate the pressure of aging population on social economy. Most of them collect the user’s sign information through the edge node and complete the disease prediction and diagnosis function combined with the cloud platform. However, the limited resources prevent the edge node from deploying the corresponding security policy after completing the data collection, storage, and calculation, which makes the edge data easy to be stolen. This paper proposes a security architecture of medical cloud platform based on lightweight algorithm model, which not only satisfies the needs of medical cloud platform to complete disease prediction and diagnosis accurately, but also creates a more secure edge node environment combined with other security strategies and hardware design. Finally, the prediction of cerebrovascular disease is used to verify the effectiveness of the proposed algorithm model.

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Information Security Issues With E-Governance;International Journal of Next-Generation Computing;2022-10-31

2. Data Storage Security System based on Cloud Computing;2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI);2022-05-27

3. Prediction Model of Ischemic Stroke Recurrence Using PSO-LSTM in Mobile Medical Monitoring System;Computational Intelligence and Neuroscience;2022-03-24

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