CN-122020690-A - Medical meta-space infrastructure and privacy protection method oriented to multi-mode data fusion

CN122020690ACN 122020690 ACN122020690 ACN 122020690ACN-122020690-A

Abstract

The invention provides a medical meta-space infrastructure and a privacy protection method for multi-mode data fusion, which comprise the following steps of collecting multi-source health data, forming standardized multi-mode medical meta-data based on the multi-source health data, constructing a decentralised distributed network infrastructure to realize intelligent management and control of user health data, integrating identity-based encryption and zero knowledge proof on the basis of the decentralised distributed network infrastructure, enabling PKG to be responsible for initializing a system and generating a secret key, issuing public and private key pairs of each care entity by using a secure bilinear mapping and a hash function, enabling an edge server to conduct primary encryption on local user multi-source data and transmitting the primary encryption to a central server, issuing intelligent contracts by a requester when a data request is sent, attaching zero knowledge proof on the requirement of the data, enabling requested nodes in the network to select corresponding requests, verifying compliance of the requested nodes by using zk-SNARKs under the condition that the data is not disclosed per se by the edge server, enabling PKG to generate a conversion secret key, enabling proxy encryption service on the central server to convert the data into a decryption format only for the requester.

Inventors

YAN MIAN
Lai Diandian
YANG QIAOHONG
CHEN YANYA
NIU WEILONG
XIAO HAOHAN

Assignees

暨南大学

Dates

Publication Date: 20260512
Application Date: 20260202

Claims (6)

1. A medical meta-space infrastructure and a privacy protection method for multi-mode data fusion are characterized by comprising the following steps: s1, acquiring multi-source health data, and forming standardized multi-mode medical metadata based on the multi-source health data; S2, constructing a decentralised distributed network infrastructure to realize intelligent management and control of user health data; s3, integrating identity-based encryption and zero knowledge proof on the basis of a decentralized distributed network infrastructure, wherein PKG is responsible for initializing a system and generating a secret key, and issuing public and private key pairs of each care entity by using a safe bilinear mapping and hash function; And S4, the edge server performs primary encryption on the local user multi-source data and transmits the primary encryption to the center server. S5, when the data request is sent out, the intelligent contract is issued by the requester, and the demand for the data is attached and passed Zero knowledge proof of composition; s6, the requested node in the network can select the corresponding request and use the corresponding request through the edge server of the group The proxy re-encryption service on the central server converts the data into a format that can be decrypted only by the requester, verifying its compliance without disclosing the data itself, and generating a conversion key by the PKG.
2. The medical meta-space infrastructure and privacy protection method for multi-modal data fusion of claim 1, wherein in S1, the method comprises the steps of: S11, acquiring physiological indexes of an individual by using a wearable medical motion sensor, a biological sensor and an environment sensor, and integrating multi-source health data of an electronic medical record, medical images and a medication record; s12, converting the multi-source health data into a standardized file format for storage through a historical data total extraction and newly added data enhancement extraction method; s13, integrating the multi-source health data into a unified structure through a multi-mode medical metadata aggregation model; the multimodal medical metadata convergence model is expressed as: Wherein, the For the aggregation of medical metadata, Scale information representing medical metadata, Representing data information, is a wearable device Space-time acquisition Physiological signal User feedback information and health data of composition Information sets formed together; And S14, forming standardized multi-mode medical metadata through a unified functional data integration mode.
3. The medical meta-space infrastructure and privacy protection method for multi-modal data fusion according to claim 1, wherein the medical meta-space infrastructure and privacy protection method are characterized in that: Specifically, the decentralized distributed network infrastructure adopts a hybrid data storage and 'cloud-side-end' collaborative computing method, utilizes a resource management gateway, a network transmission base station, a data management center and multi-access cloud computing to construct a Web server to run the decentralized application, invokes a distributed network interface to establish connection with a heterogeneous platform, and realizes intelligent management and control of user health data through an intelligent contract.
4. The medical meta-space infrastructure and privacy protection method for multi-modal data fusion according to claim 1, wherein the medical meta-space infrastructure and privacy protection method are characterized in that: The zero knowledge proof forming steps are as follows: S51 based on user identity Sum-space medical data Constructing an extended dataset S52, generating a random number r and calculating 。 S53, generating a digital signature of the user 。 S54 based on Intelligent contracts Processing medical data sets Output result set And hash value h: S55, system safety parameters And intelligent contract input to key generation algorithm Proof of generation key And verifying the generated key : 。 S56 by generating a key Medical data set Digital signature of user Output result set And the hash value h is operated to obtain a trusted zero knowledge proof : 。
5. The medical meta-space infrastructure and privacy protection method for multi-modal data fusion according to claim 1 is characterized in that: S7 is also included; and S7, multi-source data fusion and visual interaction.
6. The medical meta-space infrastructure and privacy protection method for multi-modal data fusion according to claim 1 is characterized in that: in S7, specifically the following steps are included: S71, based on a digital twin model, fusing multisource user health data and cognition and behavior indexes to realize dynamic twin mapping of the health state of the self-care individual; S72, constructing a multidimensional data interaction interface by using a virtual digital cluster, a 3D modeling and augmented reality (XR) technology, and developing a digital twin basic scene based on the personalized requirements of user self-care; S73, acquiring medical element space dynamic three-dimensional interaction data of a user in a system interaction process through head-mounted augmented reality equipment, and then realizing real-time data transmission between terminal equipment and an XR interaction data flow platform through a 5G, WLAN or Bluetooth communication protocol; S74, highlighting short-term fluctuation and long-term change of different monitoring indexes by a virtual event dynamic quantification method in the user interaction process, realizing virtual-real superposition and fusion of a user self-care scene and a medical element space, and feeding back various index parameters and real-time health information to a user interaction interface through an interactive digital twin body.

Description

Medical meta-space infrastructure and privacy protection method oriented to multi-mode data fusion Technical Field The invention relates to the technical field of intelligent medical treatment and health management, in particular to a medical meta-space infrastructure and a privacy protection method oriented to multi-mode data fusion. Background In modern medical systems, data sources are rich and diverse, including but not limited to physiological data, psychological data, environmental data, behavioral data, and medical image data. These data sources have the characteristics of multiple sources, multiple layers and multiple scales, and the data formats and standards are different, so that the fusion and analysis are difficult to directly carry out. Therefore, how to realize the standardized fusion of multi-source heterogeneous data is one of the key problems faced by intelligent medical treatment. Management of medical metadata involves multi-network node collaboration of heterogeneous platforms, in which case traditional data management methods may present potential cyber-security risk vulnerabilities. Disclosure of Invention In order to solve the above technical problems, the present invention provides a medical meta-space infrastructure and a privacy protection method for multi-modal data fusion, comprising the following steps: s1, acquiring multi-source health data, and forming standardized multi-mode medical metadata based on the multi-source health data; S2, constructing a decentralised distributed network infrastructure to realize intelligent management and control of user health data; s3, integrating identity-based encryption and zero knowledge proof on the basis of a decentralized distributed network infrastructure, wherein PKG is responsible for initializing a system and generating a secret key, and issuing public and private key pairs of each care entity by using a safe bilinear mapping and hash function; And S4, the edge server performs primary encryption on the local user multi-source data and transmits the primary encryption to the center server. S5, when the data request is sent out, the intelligent contract is issued by the requester, and the demand for the data is attached and passedZero knowledge proof of composition; s6, the requested node in the network can select the corresponding request and use the corresponding request through the edge server of the group The proxy re-encryption service on the central server converts the data into a format that can be decrypted only by the requester, verifying its compliance without disclosing the data itself, and generating a conversion key by the PKG. In S1, the following steps are included: S11, acquiring physiological indexes of an individual by using a wearable medical motion sensor, a biological sensor and an environment sensor, and integrating multi-source health data of an electronic medical record, medical images and a medication record; s12, converting the multi-source health data into a standardized file format for storage through a historical data total extraction and newly added data enhancement extraction method; s13, integrating the multi-source health data into a unified structure through a multi-mode medical metadata aggregation model; the multimodal medical metadata convergence model is expressed as: Wherein, the For the aggregation of medical metadata,Scale information representing medical metadata,Representing data information, is a wearable deviceSpace-time acquisitionPhysiological signalUser feedback information and health data of compositionInformation sets formed together; And S14, forming standardized multi-mode medical metadata through a unified functional data integration mode. Specifically, the decentralized distributed network infrastructure adopts a hybrid data storage and 'cloud-side-end' collaborative computing method, utilizes a resource management gateway, a network transmission base station, a data management center and multi-access cloud computing to construct a Web server to run the decentralized application, invokes a distributed network interface to establish connection with a heterogeneous platform, and realizes intelligent management and control of user health data through an intelligent contract. The zero knowledge proof forming steps are as follows: S51 based on user identity Sum-space medical dataConstructing an extended dataset S52, generating a random number r and calculating。 S53, generating a digital signature of the user。 S54 based on Intelligent contractsProcessing medical data setsOutput result setAnd hash value h: S55, system safety parameters And intelligent contract input to key generation algorithmProof of generation keyAnd verifying the generated key:。 S56 by generating a keyMedical data setDigital signature of userOutput result setAnd the hash value h is operated to obtain a trusted zero knowledge proof: S7 is also included; and S7, multi-source data fusion and visual interaction. In S7, spe