CN111968754A - Epidemic situation monitoring system and method for protecting privacy and business secrets - Google Patents
Epidemic situation monitoring system and method for protecting privacy and business secrets Download PDFInfo
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Abstract
An epidemic situation monitoring system and method for protecting privacy and trade secret, the system includes epidemic situation monitoring end, disease state data source end and non-disease state data source end; the disease condition data source end is used for providing relevant information of epidemic situation specific personnel; the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation; the epidemic situation monitoring end initiates calculation according to the business requirements of epidemic situation monitoring, and adopts a safe calculation mode to carry out combined calculation with the disease condition data source end and the non-disease condition data source end to obtain the action track of the specific personnel, judge the infection risk level and the potential infected object and inform related personnel. The system and the method realize the joint calculation of cross-industry, cross-department and multi-center data sources, and realize the joint association analysis of data under the conditions of not leaking any original data, protecting personal privacy safety and enterprise information safety so as to monitor and track epidemic situations.
Description
Technical Field
The invention relates to the field of security computing, belongs to the technical field of computers and big data computing, and particularly relates to an epidemic situation monitoring system and method for protecting privacy and business secrets.
Background
The monitoring of the epidemic situation is a social system engineering, the early warning, monitoring and tracking of the epidemic situation are very important works, the mobility of the modern society also causes the rapid spread of the epidemic situation, and the system is required to be capable of rapidly processing the epidemic situation.
Epidemic monitoring is typically done by medical departments. The information of the patient is needed for identifying the spreading degree of the epidemic situation, the dispersion of the patient also means the relative dispersion of the information, and the dispersed information and data need to be summarized, screened and analyzed, and then effective research and application can be made. Meanwhile, in order to obtain a more accurate analysis model, multi-dimensional data and multi-angle association are needed, wherein the data comprise various industries such as telecommunication, finance, transportation, medical treatment, retail, property, internet and the like, and the data relate to a large amount of private information and internal data of different enterprises and public institutions in different industries. But also requires automated processing to read quickly, i.e., process.
In the traditional big data analysis, required data are collected together, and then the data are analyzed by combining the illness state information and the spread characteristics of diseases of individuals through a big data algorithm. The method firstly requires an authoritative department to endorse, secondly, the workload of data collection is large, the risk of leakage exists in data transmission and storage, and the operation of desensitization and the like can also lose partial data information, so that the precision of large data analysis is reduced.
Due to the restrictions of laws and regulations, the interests of each department industry, technical means and the like, the problem of analyzing the data of each data source in a centralized manner exists, so that the social strength cannot be centralized for effective epidemic monitoring. Meanwhile, various data are acquired and processed by related personnel, so that the involvement links are many, and private data can be leaked or abused by carelessness. Leading to serious consequences.
Disclosure of Invention
The invention aims to provide an epidemic situation monitoring system and method for protecting privacy and business secrets, so as to realize joint calculation of cross-industry, cross-department and multi-center data sources, realize data joint correlation analysis and realize epidemic situation monitoring and tracking under the conditions of not leaking any original data, protecting personal privacy and safety and enterprise information.
In order to achieve the above object, a first aspect of the present invention provides an epidemic situation monitoring system for protecting privacy and trade secrets, comprising an epidemic situation monitoring end, an illness state data source end and a non-illness state data source end;
the disease condition data source end is used for providing relevant information of epidemic situation specific personnel;
the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation;
the epidemic situation monitoring end initiates calculation according to the business requirements of epidemic situation monitoring, and adopts a safe calculation mode to carry out combined calculation with the disease condition data source end and the non-disease condition data source end to obtain the action track of the specific personnel, judge the infection risk level and the potential infected object and inform related personnel.
Furthermore, the source end of the illness state data and the source end of the non-illness state data regularly arrange data according to time progress so as to optimize monitoring timeliness and accuracy;
and after new data are added to the disease condition data source end and/or the non-disease condition data source end, the epidemic situation monitoring end is informed to carry out new calculation.
Further, the system also comprises a personal inquiry terminal;
and the individual inquiry end inquires the epidemic situation related state of the individual in a safe calculation mode.
The system further comprises a safety calculation coordination unit which coordinates the safety calculation units at the data source ends to perform the joint calculation of multiple data sources, and exchanges intermediate calculation results with the safety calculation units in an encryption communication mode;
the safety calculation coordination unit is deployed at an epidemic situation monitoring end or an illness state data source end or a non-illness state data source end, or is deployed outside independently.
Furthermore, the epidemic situation monitoring end comprises a local computing unit, a safety computing unit and a database;
the local computing unit preprocesses the existing data of the epidemic situation monitoring end and performs combined computing with the safety computing coordination unit;
the safety computing unit is used for providing safety computing of data, and protecting privacy and business secret;
the database stores data related to epidemic situations.
Further, the non-disease data source end comprises a safety calculation unit and a database;
under the coordination of the safety calculation coordination unit, the safety calculation unit performs local calculation on data in the database at the non-illness state data source end, and the obtained intermediate result or model performs combined calculation with the safety calculation coordination unit in a data encryption and communication encryption mode, and the data does not need desensitization processing and directly participates in calculation;
the database stores business information data and system information data of the data source end.
Furthermore, the individual inquiry end comprises a local computing unit, and through joint computing with the security computing coordination unit, inquiry of the individual epidemic situation related state is carried out under the condition of protecting privacy security.
Further, the information related to the specific epidemic situation personnel comprises medical history, disease conditions, genes, states and/or personal information;
and the epidemic situation monitoring end performs anonymous collision and joint data analysis by using the individual information of the individual patient and the individual suspected infectious person provided by the disease condition data source end and the data of the non-disease condition data source end according to the business requirements of epidemic situation monitoring.
Further, the personal information includes a mobile phone number, device information of the mobile phone, WIFI, a bluetooth MAC address, payment information, a mobile phone APP and/or APP account information.
Further, the non-disease data source end comprises a telecom operator, a WIFI operator, a big data company and/or a commercial property company.
A second aspect of the present invention provides a privacy-protecting epidemic monitoring method, which uses the epidemic monitoring system for protecting privacy and business secrets as claimed in the preceding claims to perform monitoring, comprising the following steps:
acquiring related information of specific epidemic situation personnel;
performing combined calculation with a disease condition data source end and a non-disease condition data source end in a safe calculation environment to perfect the related information of a specific person;
performing combined calculation with a non-disease data source end in a safe calculation environment in an anonymous mode according to the related information to obtain the action track of the specific personnel;
and judging the infection risk level and informing related personnel.
Furthermore, the source end of the illness state data and the source end of the non-illness state data regularly arrange data according to time progress so as to optimize monitoring timeliness and accuracy;
and after new data are added to the disease condition data source end and the non-disease condition data source, the epidemic situation monitoring end is informed to carry out new calculation.
Further, the acquiring of the relevant information of the specific epidemic situation personnel comprises: medical history, disease, gene, status, and/or personal information;
the personal information comprises a mobile phone number, equipment information of the mobile phone, WIFI, a Bluetooth MAC address, payment information, a mobile phone APP and/or APP account information.
Further, the step of performing joint calculation with a non-disease data source end in a secure computing environment in an anonymous manner according to the related information to obtain the action trajectory of the specific person includes:
acquiring the mobile phone number of a patient and/or a suspected infectious person;
and anonymously colliding the mobile phone number with the data information of the corresponding data source end in a safe computing environment in an anonymous mode, analyzing whether the mobile phone number exists in a specified time, and positioning the action track of the patient and/or the suspected infectious person.
Further, the method also comprises the following steps:
establishing a corresponding relation between a patient and/or suspected infectious people and a mobile phone number, equipment information of a mobile phone, WIFI, a Bluetooth MAC address, payment information and/or a mobile phone APP;
acquiring a corresponding mobile phone APP account number, recording identification information and recording information of a corresponding SDK through equipment information, WIFI, a Bluetooth MAC address, payment information and/or a mobile phone APP;
perfecting equipment information, WIFI, Bluetooth MAC addresses and payment information of the mobile phone and a corresponding data source end and/or obtaining corresponding account numbers and records and identification information and record information of corresponding SDKs (security data centers) by the mobile phone APP in an anonymous mode under a secure computing environment;
anonymous collision is carried out on data information of a corresponding data source end under a safe computing environment, whether equipment information, WIFI, a Bluetooth MAC address, payment information, an account number of a mobile phone APP and/or identification information of a corresponding SDK and record information of the identification information exist within a specified time or not is analyzed, and the action tracks of the patient and/or suspected infectious staff are supplemented and positioned or verified.
Further, the method also comprises the following steps:
acquiring a device list of people with infection risks, which have intersection with the patient and/or suspected infectious people, through the action track of the patient and/or suspected infectious people, and acquiring corresponding device users through the device list;
under the condition of encryption in a secure computing environment, corresponding account numbers and records, identification information of corresponding SDKs, record information of the SDKs and corresponding personal information are acquired by the equipment pairs in the corresponding data source terminal perfecting equipment list, WIFI, Bluetooth MAC addresses, payment information and/or mobile phone APP.
Further, under a safe computing environment, the device list, the acquired corresponding personal information and an epidemic situation database of an epidemic situation monitoring end are jointly queried, and whether the device list exists in the epidemic situation database and the epidemic situation database is confirmed is judged: if it already exists, it is further analyzed; if not, submitting to the management department for processing.
Further, the method also comprises the following steps:
and an individual inquiry end is arranged, an individual carries out safety inquiry through an inquiry interface of the inquiry end, carries out individual epidemic situation related state inquiry under the condition of not revealing individual information, and detects the infection risk of the individual.
Further, the method also comprises the following steps:
and analyzing the relationship between the infection source and the infected person in a safe computing environment according to the genetic sequence determined by analyzing the genetic information.
In summary, the present invention provides an epidemic situation monitoring system and method for protecting privacy and trade secrets, the system includes an epidemic situation monitoring end, an illness state data source end and a non-illness state data source end; the disease condition data source end is used for providing relevant information of epidemic situation specific personnel; the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation; the epidemic situation monitoring end initiates calculation according to the business requirements of epidemic situation monitoring, and adopts a safe calculation mode to carry out combined calculation with the disease condition data source end and the non-disease condition data source end to obtain the action track of the specific personnel, judge the infection risk level and the potential infected object and inform related personnel. The system and the method realize the joint calculation of cross-industry, cross-department and multi-center data sources, and realize the joint association analysis of data under the conditions of not leaking any original data, protecting personal privacy safety and enterprise information safety so as to monitor and track epidemic situations.
The beneficial technical effects of the invention are as follows:
1. in the joint calculation process, the original data are always in the database of the data source end, desensitization is not needed, the original data cannot be transmitted out, epidemic situation early warning tracking prediction is carried out under the condition that privacy is protected through safe calculation, and privacy is protected to the maximum extent.
2. Determining a common ID, and performing multi-party combined security calculation; performing joint analysis through a mobile phone number and hardware addresses such as WIFI (wireless fidelity), Bluetooth and the like; and analyzing the big data corresponding to the APP, and performing mutual supplementary verification of the action track positioning in different modes.
Drawings
FIG. 1 is a block diagram of an epidemic monitoring system with privacy and business privacy protection, according to an embodiment of the invention;
FIG. 2 is a block diagram of an epidemic monitoring system with privacy and business privacy protection in accordance with another embodiment of the invention;
fig. 3 is a flowchart of an epidemic situation monitoring method for protecting privacy according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The invention is further illustrated with reference to the figures.
The first aspect of the present invention provides an epidemic situation monitoring system for protecting privacy and trade secrets, as shown in fig. 1, including an epidemic situation monitoring end, an illness state data source end and a non-illness state data source end; the source end of the disease condition data is used for providing relevant information of specific personnel with epidemic situations, and the source end of the disease condition data can be different hospitals, outpatients or inspection sites; the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation, and comprises a telecom operator, a WIFI operator, an internet big data company, a commercial property company and the like; and the epidemic situation monitoring end performs combined calculation with the disease condition data source end and the non-disease condition data source end in a safe calculation mode to obtain the action track of the specific personnel, judge the infection risk level and inform related personnel. The security calculation mode comprises homomorphic encryption, TEE, multi-party security calculation or combination of each security calculation.
The source end of the illness state data and the source end of the non-illness state data regularly arrange data according to time progress so as to optimize monitoring timeliness and accuracy; the data arrangement mode comprises the following steps: the data are sorted according to gene information, sorted according to symptoms and sorted according to personal physiological information. And after new data are added to the disease condition data source end and/or the non-disease condition data source end, the epidemic situation monitoring end is informed to carry out new calculation.
Further, as shown in fig. 2, a personal query end is also included; and the individual inquiry end inquires the epidemic situation related state of the individual in a safe calculation mode.
Further, as shown in fig. 2, the system further includes a security computation coordination unit, which coordinates the security computation units at the data source ends to perform joint computation of multiple data sources, and exchanges intermediate computation results with the security computation units in an encrypted communication manner; the safety calculation coordination unit is deployed at an epidemic situation monitoring end or an illness state data source end or a non-illness state data source end, or is deployed outside independently.
Furthermore, the epidemic situation monitoring end comprises a local computing unit, a safety computing unit and a database; the local computing unit preprocesses the existing data of the epidemic situation monitoring end and performs combined computing with the safety computing coordination unit; the safety calculation unit is used for providing safety calculation of data and protecting privacy and business secret; the database stores data related to epidemic situations. When the epidemic situation monitoring end carries out calculation, the local calculation unit is used for carrying out calculation, and when the personal inquiry and the like are carried out to provide services for personal users, the safety calculation unit is used for carrying out calculation.
Further, the non-disease data source end comprises a safety calculation unit and a database; under the coordination of the safety calculation coordination unit, the safety calculation unit performs local calculation on data in the database of the non-illness state data source end, and the obtained intermediate result or model performs combined calculation with the safety calculation coordination unit in a data encryption and communication encryption mode, so that the privacy of the data is ensured, and the data does not need desensitization processing and directly participates in calculation; the database stores the respective business information data and system information data of the data source end so as to cooperate with epidemic situation analysis. Data processing in the prior art needs desensitization and data transmission out of the local, so that the risk of data leakage is caused, while the data in the invention does not need desensitization and does not leave the local, so that the safety and privacy of the data and the commercial secret are ensured not to be leaked.
Furthermore, the individual inquiry end comprises a local computing unit, and through joint computing with the security computing coordination unit, inquiry of the individual epidemic situation related state is carried out under the condition of protecting privacy security. In this case, data need not be transmitted across boundaries, enabling personal privacy to be protected.
Further, the information related to the individual patient comprises medical history, disease condition, gene, state and/or personal information; and the epidemic situation monitoring end performs anonymous collision and combined data analysis by using the individual information of the individual patient and the individual suspected infectious person provided by the disease condition data source end and the data of the non-disease condition data source end according to the business requirements of epidemic situation monitoring.
Further, the personal information comprises a mobile phone number, equipment information of the mobile phone, WIFI, a Bluetooth MAC address, payment information, a mobile phone APP and/or APP account information, and the SDK information can be obtained through joint calculation of the common information and the data source.
Further, the non-disease data source end comprises a telecom operator, a WIFI operator, a big data company and/or a commercial property company.
Specifically, in the epidemic situation analysis system, an operator of an illness state data source and a non-illness state data source provides data with a plurality of different dimensions, the time span is long, the data volume is large, and particularly the time sequence data volume is large, so that the data is required to be processed to accelerate the data analysis speed. Specifically, a data space is divided by establishing a data structure such as a k-d tree and an R tree for the multidimensional data, so that the range search and the nearest neighbor search of the multidimensional data are accelerated. For data with large data volume, such as data of a telecom operator, k-d trees can be respectively established in a mode of dividing according to time dimension so as to save memory occupation. And dimension reduction is performed on data with complex data formats, such as transaction data, through data cleaning, clustering, principal component analysis and the like. The data of the time change block, such as epidemic situation data, is preprocessed through correlation analysis of time sequence data and event data, and the like, so that the data volume is reduced.
Therefore, the specific implementation algorithm steps of initiating calculation by the epidemic situation monitoring terminal according to the business requirements of epidemic situation monitoring and performing joint calculation by adopting a safe calculation mode and the disease condition data source terminal and the non-disease condition data source terminal are as follows:
the first step is as follows: and analyzing the data characteristics of the data of each data source end participating in the calculation.
The second step is that: and preprocessing the data with different characteristics in different modes. For data with large data volume, such as some data of telecom operators, k-d trees can be respectively established by dividing according to time dimension, so as to save memory occupation. And dimension reduction is performed on data with complex data formats, such as transaction data and position data, through data cleaning, clustering, principal component analysis and the like. The data of the time change block, such as epidemic situation data, is preprocessed through correlation analysis of time sequence data and event data, and the like, so that the data volume is reduced.
The third step: and respectively establishing k-d trees by adopting a mode of dividing according to a time dimension so as to save the memory occupation. Specifically, different time periods such as real time, the same day, 3 days, 7 days, 30 days, 60 days, 90 days and the like are set according to the requirements of epidemic situation monitoring departments. And is dynamically updated.
The fourth step: and initiating joint analysis and calculation by the epidemic situation monitoring end.
A second aspect of the present invention provides a method for monitoring an epidemic situation with privacy protection, which uses the epidemic situation monitoring system for privacy protection and business secret protection as described above to perform monitoring, as shown in fig. 3, and includes the following steps:
s100, acquiring related information of epidemic situation specific personnel;
step S200, performing combined calculation with an illness state data source end and a non-illness state data source end under a safe calculation environment to perfect the related information of a specific person;
step S300, performing combined calculation with a non-disease data source end in a safe calculation environment in an anonymous mode according to related information to obtain an action track of the specific personnel;
and step S400, judging the infection risk level and informing related personnel.
Furthermore, the source end of the illness state data and the source end of the non-illness state data regularly arrange data according to time progress so as to optimize monitoring timeliness and accuracy; and after new data are added to the disease condition data source end and the non-disease condition data source, the epidemic situation monitoring end is informed to carry out new calculation.
Further, the acquiring of the relevant information of the specific epidemic situation personnel comprises: medical history, disease, gene, status, and/or personal information; the personal information comprises a mobile phone number, equipment information of the mobile phone, WIFI, a Bluetooth MAC address, payment information, a mobile phone APP and/or APP account information. And establishing corresponding relations among names, identity card numbers, mobile phone numbers, equipment information and the like.
Further, the step of performing joint calculation with a non-disease data source end in a secure computing environment in an anonymous manner according to the related information to obtain the action trajectory of the specific person includes:
acquiring the mobile phone number of a patient and/or a suspected infectious person;
and initiating a joint calculation application of multiple data sources through an epidemic situation monitoring end, anonymously colliding the mobile phone number with data information of a corresponding data source end in a safe calculation environment in an anonymous mode, analyzing whether the mobile phone number exists in specified time, and positioning the action track of the patient and/or the suspected infectious person.
Further, the method also comprises the following steps:
establishing a corresponding relation between a patient and/or suspected infectious people and a mobile phone number, equipment information of a mobile phone, WIFI, a Bluetooth MAC address, payment information and/or a mobile phone APP;
acquiring a corresponding mobile phone APP account number, recording identification information and recording information of a corresponding SDK through equipment information, WIFI, a Bluetooth MAC address, payment information and/or a mobile phone APP;
completing the equipment information, WIFI, Bluetooth MAC address and payment information of the mobile phone and/or the mobile phone APP to obtain the corresponding account and record and the identification information and the record information of the corresponding SDK in a security computing environment in an anonymous mode;
anonymous collision is carried out on data information of a corresponding data source end under a safe computing environment, whether equipment information, WIFI, a Bluetooth MAC address, payment information, an account number of a mobile phone APP and/or identification information of a corresponding SDK and record information of the identification information exist within a specified time or not is analyzed, and the action tracks of the patient and/or suspected infectious staff are supplemented and positioned or verified.
For example, joint calculation is carried out by using a mobile phone number or an IMEI number and a data source of a telecom operator, and a trajectory graph is generated in a safe calculation environment by using mobile communication network data.
For example, according to individual information of a patient, a mobile phone number and a device number (MAC address) are further followed, cross-company department (cross-data source) association is performed by applying an ID transaction record of an APP, and safety collision association is performed with data of other enterprises, and different internal data of different enterprises can be collided through different ID associations.
For example: the MAC address of WIFI is jointly computed with the data source of the WIFI operator, using, for example, in a secure computing environment: and the WIFI probe acquires the position track information of the equipment information from the WIFI station data. The WiFi probe technology is used for identifying a smart phone or a WiFi terminal (a notebook, a tablet computer and the like) which is close to an AP (wireless access point) and has started WiFi based on the WiFi detection technology, and the WiFi probe can identify information of a user without accessing the WiFi by the user. When the walking probe enters the signal coverage area of the probe and the Wifi device is turned on, the device can be detected by the probe, whether the IOS or the android system can easily detect the device, and the MAC address of the device can be obtained. Has the following characteristics: 1. the user does not need to participate in the method, and the WIFI operator does not need to be connected to a network, generally has a WIFI probe function and is used for carrying out data acquisition, and then the relevant movement track of the user can be obtained.
Further, the method also comprises the following steps: acquiring a device list of people with infection risks, which have intersection with the patient and/or suspected infectious people, through the action track of the patient and/or suspected infectious people, and acquiring corresponding device users through the device list;
under the condition of encryption in a secure computing environment, corresponding account numbers and records, identification information of corresponding SDKs, record information of the SDKs and corresponding personal information are acquired by the equipment pairs in the corresponding data source terminal perfecting equipment list, WIFI, Bluetooth MAC addresses, payment information and/or mobile phone APP.
And (2) by using the data selected in the step (1), further utilizing information of the mobile phone APP and the SDK to establish a corresponding relation between the patient and the data source, and performing joint calculation with an Internet big data service provider, and analyzing by utilizing APP information in a safe calculation environment, for example, the equipment number or IMEI number of the mobile phone, wherein the Internet big data service provider does not need to know the information of the patient and simultaneously obtains an infected equipment list.
The transaction information is obtained by obtaining the bank or payment account information of the patient and the WeChat account information, and the transaction information also comprises position correlation information and information of related potential infected persons.
Through the steps, joint analysis and supplementation are carried out between data sources in different positions and different industries in an anonymous mode based on a safe computing environment, and a complete track and a complete easily infected device list are formed.
Further, under a safe computing environment, the device list and an epidemic situation database of an epidemic situation monitoring end are jointly queried, whether the device list exists in the epidemic situation database and whether diagnosis is confirmed is judged: if the information exists, further analyzing the information to analyze the sequence association relationship (for example, medical information, such as pathogen gene analysis and disease diagnosis information); if not, submitting to the management department for processing.
Further, the method also comprises the following steps:
and an individual inquiry end is arranged, an individual carries out safety inquiry through an inquiry interface of the inquiry end, carries out individual epidemic situation related state inquiry under the condition of not revealing individual information, and detects the infection risk of the individual.
Further, the method also comprises the following steps:
and analyzing the relationship between the infection source and the infected person in a safe computing environment according to the genetic sequence determined by analyzing the genetic information. By analyzing the genes of the viruses, the virus variation sequence can be known, and then, the infected person can be known, and the epidemic situation analysis is optimized by using the information.
The system and the method obtain accurate infection risk path analysis through correlation analysis of different attributes. For example: the mobile phone number, the equipment information, the APP information and the like of a patient or a person carrying an infection source are input, the system can achieve the activity track of the patient within a specific time through the joint data analysis with different data sources, the position with high risk of being infected by the patient can be obtained through further correlation analysis, and the patient enters the crowd who finds the high risk of being infected for further analysis. The calculations are all performed within the respective data sources and the patient information is not revealed. The overall action path, infection path, time relation and fine management can be obtained through the information calculation.
In summary, the present invention provides an epidemic situation monitoring system and method for protecting privacy and trade secrets, the system includes an epidemic situation monitoring end, an illness state data source end and a non-illness state data source end; the disease condition data source end is used for providing relevant information of epidemic situation specific personnel; the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation; the epidemic situation monitoring end initiates calculation according to the business requirements of epidemic situation monitoring, and adopts a safe calculation mode to carry out combined calculation with the disease condition data source end and the non-disease condition data source end to obtain the action track of the specific personnel, judge the infection risk level and the potential infected object and inform related personnel. The system and the method realize the joint calculation of cross-industry, cross-department and multi-center data sources, and realize the joint association analysis of data under the conditions of not leaking any original data, protecting personal privacy safety and enterprise information safety so as to monitor and track epidemic situations.
The beneficial technical effects of the invention are as follows:
1. in the joint calculation process, the original data are always in the database of the data source end, desensitization is not needed, the original data cannot be transmitted out, epidemic situation early warning tracking prediction is carried out under the condition that privacy is protected through safe calculation, and privacy is protected to the maximum extent.
2. Determining a common ID, and performing multi-party combined security calculation; performing joint analysis through a mobile phone number and hardware addresses such as WIFI (wireless fidelity), Bluetooth and the like; and analyzing the big data corresponding to the APP, and performing mutual supplementary verification of the action track positioning in different modes.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. An epidemic situation monitoring system for protecting privacy and trade secrets is characterized by comprising an epidemic situation monitoring end, an illness state data source end and a non-illness state data source end;
the disease condition data source end is used for providing relevant information of epidemic situation specific personnel;
the non-disease data source end is used for providing data of non-epidemic situation related information to cooperate with calculation;
the epidemic situation monitoring end initiates calculation according to the business requirements of epidemic situation monitoring, and adopts a safe calculation mode to carry out combined calculation with the disease condition data source end and the non-disease condition data source end to obtain the action track of the specific personnel, judge the infection risk level and the potential infected object and inform related personnel.
2. The epidemic monitoring system of claim 1, wherein the disease data source and non-disease data source regularly collate data according to time progression to optimize monitoring timeliness and accuracy;
and after new data are added to the disease condition data source end and/or the non-disease condition data source end, the epidemic situation monitoring end is informed to carry out new calculation.
3. The epidemic monitoring system of claim 1, further comprising a personal query end;
and the individual inquiry end inquires the epidemic situation related state of the individual in a safe calculation mode.
4. The epidemic situation monitoring system of claim 1, further comprising a security computation coordination unit coordinating the security computation units of the data sources to perform joint computation of multiple data sources, exchanging intermediate computation results with the security computation unit in an encrypted communication manner;
the safety calculation coordination unit is deployed at an epidemic situation monitoring end or an illness state data source end or a non-illness state data source end, or is deployed outside independently.
5. An epidemic monitoring system for protecting privacy and business secrets according to any one of claims 1-4, wherein the epidemic monitoring end comprises a local computing unit, a security computing unit and a database;
the local computing unit preprocesses the existing data of the epidemic situation monitoring end and performs combined computing with the safety computing coordination unit;
the safety computing unit is used for providing safety computing of data, and protecting privacy and business secret;
the database stores data related to epidemic situations.
6. The epidemic monitoring system of claim 1 or 2, wherein the non-disease data source comprises a secure computing unit and a database;
under the coordination of the safety calculation coordination unit, the safety calculation unit performs local calculation on data in the database at the non-illness state data source end, and the obtained intermediate result or model performs combined calculation with the safety calculation coordination unit in a data encryption and communication encryption mode, and the data does not need desensitization processing and directly participates in calculation;
the database stores business information data and system information data of the data source end.
7. The system according to claim 3, wherein the personal query end comprises a local computing unit, and queries the relevant status of the personal epidemic under the condition of protecting privacy and security by joint computing with the security computing coordination unit.
8. The epidemic monitoring system of claim 1, wherein the epidemic monitoring system is configured to protect privacy and trade secrets,
the information related to the epidemic situation specific personnel comprises medical history, disease conditions, genes, states and/or personal information;
and the epidemic situation monitoring end performs anonymous collision and joint data analysis by using the individual information of the individual patient and the individual suspected infectious person provided by the disease condition data source end and the data of the non-disease condition data source end according to the business requirements of epidemic situation monitoring.
9. The epidemic monitoring system of claim 8, wherein the personal information includes a cell phone number, device information of a cell phone, WIFI, bluetooth MAC address, payment information, cell phone APP, and/or APP account information.
10. An epidemic monitoring system, according to any one of claims 1-9, wherein the non-disease data sources comprise telecom operators, WIFI operators, big data companies and/or commercial property companies.
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