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

Jimin Liu,Chen Liu,Huiqi Zhao,Quanqiu Jia,Shah Nazir

doi:10.1155/2021/5543714

Jimin Liu, Chen Liu + Show 3 more

Open Access

https://doi.org/10.1155/2021/5543714

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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.

Highlights

With the improvement of living standards, the aging population is becoming increasingly serious
Hamid et al proposed a Fog Computing Facility with Pairing-Based Cryptography, using edge computing tools to protect private data in cloud [4]. e new ice ++ framework proposed by Alberto et al improves the security and availability of the whole medical environment by improving MCPs [5]
In the framework proposed in this paper, smart phones, as edge nodes, bear part of the computing power and storage capacity, and there are a variety of security strategies

Summary

Research Article

Privacy Data Security Policy of Medical Cloud Platform Based on Lightweight Algorithm Model. 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. 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. Is paper proposes a security architecture of medical cloud platform based on lightweight algorithm model, which satisfies the needs of medical cloud platform to complete disease prediction and diagnosis accurately, and creates a more secure edge node environment combined with other security strategies and hardware design. The prediction of cerebrovascular disease is used to verify the effectiveness of the proposed algorithm model

Introduction

Security world

Cloud storage

Quantification of APC model results

Findings

False positive rate