Design And Implementation Of Medical Internet Of Things Data Management System Based On Cloud Computing Ciphertext Retrieval

In recent years,intelligent devices of Internet of things and 5g communication technology have made great progress.Meanwhile,the covid-19 pneumonia has been ravaged worldwide,causing more than 400 million people worldwide to become infected.In remote cities and villages where medical resources are scarce,patients with the disease can not get timely diagnosis and treatment.Therefore,the medical Internet of things has attracted more and more attention of the state and society.According to this background,the work of this thesis is as follows:(1)A medical Internet of things data management system based on cloud computing ciphertext retrieval is proposed in this thesis.After feasibility analysis,five types of functional requirements and three types of non-functional requirements are put,which lays a foundation for the development of medical Internet of things application layer platform.(2)In order to protect the data privacy of users in the medical Internet of things and improve the efficiency of data retrieval,the retrieval algorithm in the medical Internet of things data management system is first designed in detail.A multi keyword ciphertext retrieval algorithm based on cloud computing is proposed in this thesis.The system data manager encrypts the user’s physiological data and area tree index through the key composed of a group of reversible matrix and random numbers,and outsource it to the public cloud server.Data users use the key shared by the system data manager to encrypt the retrieval request vector into a query trap,and then upload it to the public cloud server for correlation calculation,so as to realize various functions of the medical Internet of things system,such as remote diagnosis and disease early warning.(3)In addition,a data structure of high-dimensional region tree is designed in this thesis,which is improved from KD tree.In this thesis,the data is indexed according to the construction algorithm of high-dimensional region tree.Compared with common schemes,the retrieval efficiency of the index is significantly improved,which makes the function response speed of the platform faster and improves the user experience.Through analysis and data simulation,the retrieval efficiency of the algorithm proposed in this thesis is improved by 40%compared with other schemes,and the test results are in line with expectations.(4)Finally,the detailed design and implementation of the medical Internet of things data management system is introduced in this thesis.Firstly,the overall architecture of the medical Internet of things system is proposed,and the implementation of the application layer of the system is described in detail.Firstly,the database architecture and data table are designed,and then the front and rear communication mechanism is designed.The front-end design and Implementation Based on RESTful architecture and the back-end design and Implementation Based on spring boot and spring cloud micro service architecture is introduced in detail,including data collection,data storage,device management,remote diagnosis,disease early warning and other functions.After the system test,the platform proposed in this thesis has passed the functional test.In addition,by simulating the high concurrency scenario,it is found that the stability of the system in this thesis is high,and the system test results meet the expectations.