Lightweight ground-to-medical internet of things big data sharing system

Abstract

The invention discloses a big data sharing system for a lightweight ground-to-medical internet of things. The big data sharing system comprises a patient terminal with built-in safety middleware, a trust center, a cloud server and a user terminal. The patient side performs data encryption on the shared medical data and sets an authorized user identity set, the encrypted shared medical data is divided into a plurality of data blocks by utilizing safety middleware, and labels are generated for the data blocks; the trust center calculates an encryption intermediate value and a decryption intermediate value of the shared medical data for the patient side and the user side based on the system parameters, and generates a data downloading license and a private key for the user; after the cloud server verifies that the data downloading time in the user data downloading license is valid, a data certificate and a label certificate are generated; and the client downloads the encrypted data from the cloud server and calculates a decryption key to obtain plaintext data after determining that the data is complete according to the data proof and the label proof. Safe and lightweight medical big data sharing is realized, and the privacy and integrity of the shared data are ensured.

Description

technical field [0001] The present application relates to the technical field of data sharing, in particular to a lightweight big data sharing system oriented to the Internet of Medical Things. Background technique [0002] With the rapid development of information technology, the Internet of Medical Things has been widely used in the medical field. The medical Internet of Things can not only bring convenience to patients, enabling patients to conduct telemedicine anytime, anywhere, but also help medical experts use medical big data to conduct intelligent medical treatment such as accurate disease prediction. However, with the continuous collection of medical data by Internet of Things devices and the continuous growth of medical big data applications, medical information systems are faced with challenges such as how to efficiently store, retrieve and process medical big data. [0003] As a new platform, the cloud platform based on cloud computing technology has the advanta...

AI Technical Summary

Problems solved by technology

Additionally, sensitive medical data shared in the cloud should not be accessed by unauthorized users

If unauthorized users access and tamper with the shared medical records in the cloud, it will lead to serious consequences such as misdiagnosis

In addition, IoT end nodes are usually resource-constrained devices with small storage space and slow processing speed

[0005] At present, related technologies use attribute-based encryption methods to realize medical data sharing, and the encryption and decryption operations are mainly implemented on the patient side and the user side, which undoubtedly increases the communication and computing burden of the terminal.

In addition, since the sharing scheme has no integrity verification mechanism, incomplete medical data is shared by users, resulting in wrong diagnostic results

[0006] In view of this, in the process of medical data sharing, ensure that only legitimate users access medical data, and ensure the privacy and data integrity of patient medical information, and solve the problem of small storage space and slow processing speed of IoT terminal nodes due to resource-constrained devices. The problem is a problem that those skilled in the art need to solve

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