Data interaction method and system based on privacy protection, terminal and storage medium

Abstract

The invention relates to a privacy protection-based data interaction method and system, a terminal and a storage medium. The privacy protection-based data interaction method comprises the following steps of performing a matching data processing flow in a rule database according to a data processing strategy, and sending the successfully matched data processing flow and received user data to an item processing host; processing the user data according to the data processing flow, generating a processed data packet and feeding back the processed data packet to the cloud server; the cloud server performs data packet verification according to a set privacy protection strategy and performs privacy protection grade scoring; the data processing process is stored in the block chain, and the generated access key of the block chain is fed back to the data owning end; by applying the method provided by the invention, an independent checking platform is constructed so as to realize transparency of data processing, and meanwhile, a scoring mechanism is also provided for performing privacy protection grade scoring, so that the privacy protection grade can be reflected more intuitively.

Description

Technical Field

[0001] The present invention relates to the field of data interaction technology, and more specifically, to a data interaction method, system, terminal and storage medium based on privacy protection. Background Art

[0002] Data interaction refers to the transmission, sharing and processing of information between two or more systems. In today's digital age, data interaction is becoming increasingly important. It can facilitate communication and coordination between multiple systems or applications, allowing enterprises to manage their resources and processes more efficiently. This interaction may be between people and computers, or between different computers.

[0003] Data exchange encompasses the process of transferring and sharing data. It covers methods of transferring data using different protocols and file formats. Data exchange can be achieved through email, file sharing, rule database connections, and APIs. This interaction can help companies better manage their data and improve productivity and business efficiency.

[0004] Privacy protection in data interaction is a very important part of the interaction method. Existing privacy protection methods usually adopt encryption, setting access rights, blurring privacy features and other methods to deal with it. However, existing privacy protection measures are often not transparent to privacy owners, and privacy owners also lack effective ways to monitor the security of data processed by privacy protection methods. Especially in data joint scenarios, it is impossible to distinguish the degree of protection of data processed by each party, and there are great security risks. A data interaction method, system, terminal and storage medium based on privacy protection that can solve this defect is needed. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a data interaction method based on privacy protection in view of the above-mentioned defects of the prior art, and also provide a data interaction system based on privacy protection, a data interaction terminal based on privacy protection and a computer-readable storage medium.

[0006] The technical solution adopted by the present invention to solve the technical problem is:

[0007] A data interaction method based on privacy protection is constructed, which includes the following steps:

[0008] Build a monitoring platform, which includes a data receiving interface, a task receiving interface, a cloud server, and a rule database;

[0009] Receive data from the data owner through the data receiving interface, and receive data processing strategies from the data processing end through the task receiving interface;

[0010] Matching data processing flow in the rule database according to the data processing strategy, and sending the successfully matched data processing flow and received user data to the event processing host specified by the data processing end;

[0011] The event processing host processes user data according to the data processing flow, generates processed data packets and feeds them back to the cloud server;

[0012] The cloud server verifies the data packet according to the set privacy protection policy and performs privacy protection level scoring;

[0013] The data processing strategy, data processing flow, processed data packets and privacy protection level scores are stored in the blockchain, and the generated blockchain access key is fed back to the data owner;

[0014] Receive satisfaction feedback from the data owner, and send the processed data packet to the data processing end when the satisfaction meets the set standards.

[0015] The data interaction method based on privacy protection of the present invention, wherein the data processing process is matched in the rule database according to the data processing strategy, and the successfully matched data processing process and the received user data are sent to the event processing host specified by the data processing end using the method:

[0016] The data processing flow in the rule database is uploaded and maintained by the data processing terminal, and the maintenance record is stored in the rule database log; the data processing strategy stores matching information with the data processing flow;

[0017] The monitoring platform receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back the success information to the data processing end, and calls the event processing host specified by the data processing end, which then processes the event.

[0018] The data interaction method based on privacy protection described in the present invention, wherein the event processing host is provided by the data processing end and is in a secure and closed environment;

[0019] When the matching data processing flow is successful, remote communication between the event processing host and the cloud server is established. After the event is processed and the processed data packet is uploaded, the connection between the event processing host and the cloud server is disconnected.

[0020] The data interaction method based on privacy protection described in the present invention further comprises the steps of:

[0021] An analysis server is configured, which is used to analyze user data and assign processing tasks to multiple data processing terminals. The analysis server is also used to send user data to a data receiving interface. After receiving the processing task, the data processing terminal accesses the rule database to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface.

[0022] A data interaction system based on privacy protection, wherein the system includes a monitoring platform, a data ownership terminal and a data processing terminal;

[0023] The monitoring platform includes a data receiving interface, a task receiving interface, a cloud server and a rule database; the data of the data owner is received through the data receiving interface, and the data processing strategy of the data processing end is received through the task receiving interface; the data processing process is matched in the rule database according to the data processing strategy, and the successfully matched data processing process and the received user data are sent to the event processing host specified by the data processing end; the event processing host processes the user data according to the data processing process, generates a processed data packet and feeds it back to the cloud server; the cloud server verifies the data packet according to the set privacy protection strategy, and performs a privacy protection level score; the data processing strategy, data processing process, processed data packet and privacy protection level score are stored in the blockchain, and the generated blockchain access key is fed back to the data owner; the satisfaction feedback information of the data owner is received, and when the satisfaction meets the set standard, the processed data packet is sent to the data processing end.

[0024] The data interaction system based on privacy protection described in the present invention, wherein the data processing flow in the rule database is uploaded and maintained by the data processing terminal, and the maintenance record is stored in the rule database log; the data processing strategy stores matching information with the data processing flow;

[0025] The monitoring platform receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back success information to the data processing end after finding it, and calls the event processing host specified by the data processing end, which performs event processing.

[0026] The data interaction system based on privacy protection described in the present invention, wherein the event processing host is provided by the data processing terminal and is in a secure and closed environment;

[0027] When the matching data processing flow is successful, remote communication between the event processing host and the cloud server is established. After the event is processed and the processed data packet is uploaded, the connection between the event processing host and the cloud server is disconnected.

[0028] The data interaction system based on privacy protection described in the present invention, wherein the system also includes an analysis server, which is used to analyze user data and assign processing tasks to multiple data processing terminals; the analysis server is also used to send user data to a data receiving interface; after the data processing terminal receives the processing task, it accesses the rule database to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface.

[0029] A data interaction system terminal based on privacy protection comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0030] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of the above method when executed by a processor.

[0031] The beneficial effects of the present invention are as follows: by applying the method of the present application, an independent inspection platform is constructed, the entire data processing process is placed under the monitoring of the monitoring platform, and the data processing process is uploaded to the chain and displayed to the data owner, so as to achieve transparency in data processing. At the same time, a scoring mechanism is provided to score the privacy protection level, which is convenient for more intuitively reflecting the level of privacy protection, and is particularly suitable for data joint processing application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work:

[0033] Figure 1 This is a flow chart of a data interaction method based on privacy protection according to a preferred embodiment of the present invention;

[0034] Figure 2 It is a principle block diagram of a data interaction system based on privacy protection according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will be described clearly and completely in combination with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are partial embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0036] The data interaction method based on privacy protection in a preferred embodiment of the present invention is as follows: Figure 1 As shown, the following steps are included:

[0037] S01: Build a monitoring platform, which includes a data receiving interface, a task receiving interface, a cloud server, and a rule database;

[0038] S02: receiving data from the data owner through the data receiving interface, and receiving data processing strategies from the data processing end through the task receiving interface;

[0039] S03: Matching the data processing flow in the rule database according to the data processing strategy, and sending the successfully matched data processing flow and the received user data to the event processing host designated by the data processing terminal;

[0040] S04: The event processing host processes the user data according to the data processing flow, generates a processed data packet and feeds it back to the cloud server;

[0041] S05: The cloud server verifies the data packet according to the set privacy protection policy and performs a privacy protection level score;

[0042] S06: Store the data processing strategy, data processing flow, processed data packets and privacy protection level score in the blockchain, and feed back the generated blockchain access key to the data owner;

[0043] S07: receiving satisfaction feedback information from the data owner, and sending the processed data packet to the data processing end when the satisfaction meets the set standard;

[0044] By applying the methods and approaches of this application, an independent inspection platform is built, and the entire data processing process is placed under the monitoring of the monitoring platform. The data processing process is uploaded to the chain and displayed to the data owner to facilitate the transparency of data processing. At the same time, a scoring mechanism is provided to score the privacy protection level, which is convenient for more intuitive reflection of the privacy protection level, especially suitable for data joint processing application scenarios.

[0045] It should be noted that the privacy protection level score can be defined by the system according to the actual application scenario. For example, in the banking scenario, privacy information mainly includes the following categories:

[0046] 1. Personal identity information, including name, gender, date of birth, ID name and number, social security number, contact number, mailing address, education level, occupation, etc. When applying for a bank card, you may also be asked to provide family property status, such as deposit account number, checking account number, housing ownership, car brand and year, financing channel, current debt and creditor name and account number, etc.

[0047] 2. Transaction information, mainly including account information (such as bank account number, password, deposit and loan amount, etc.), credit information (such as number of cards held, overdraft records, etc.), investment information (such as securities account asset composition) and insurance information, etc. This information fully reflects the individual's financial asset status and credit status, and is relatively sensitive information for individuals1.

[0048] 3. Subjective information mainly refers to the subjective impression formed by financial institutions on customers after sorting out and analyzing the derivative information obtained in the process of interacting with customers. For example, by recording and analyzing personal card shopping information, it is possible to understand the time, place, amount, transaction object, and even the type and brand of goods purchased, thereby judging their trading habits and consumption preferences, and sometimes even integrating the individual's professional background, personality traits, bad habits, and social circle.

[0049] 4. Basic information, including name, gender, age, marital status, contact information, etc.

[0050] 5. Document information, including ID card, driver’s license, passport, professional license, etc.

[0051] 6. Occupational information, including industry, occupational status, position, work experience, etc.

[0052] 7. Financial information, including personal and family income, property, liabilities, consumption records, etc.

[0053] This information plays an important role in banking services, and is used to verify customer identity, process transactions, provide personalized services, etc. At the same time, banks are obliged to protect customers' privacy information and ensure that it is not obtained or abused by unauthorized third parties. The level of privacy protection can be graded according to factors such as the type of privacy involved, the importance of privacy, and the amount of privacy;

[0054] Preferably, the data processing flow is matched in the rule database according to the data processing strategy, and the successfully matched data processing flow and the received user data are sent to the event processing host specified by the data processing terminal using the method:

[0055] The data processing flow in the rule database is uploaded and maintained by the data processing end, and the maintenance records are stored in the rule database log; the data processing strategy stores the matching information with the data processing flow;

[0056] The monitoring platform receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back the success information to the data processing end, and calls the event processing host specified by the data processing end, which then processes the event.

[0057] The event processing host is provided by the data processing end and is in a secure and closed environment;

[0058] When the matching data processing flow is successful, remote communication between the event processing host and the cloud server is established. After the event is processed and the processed data packet is uploaded, the connection between the event processing host and the cloud server is disconnected.

[0059] It should be noted that the core purpose of the monitoring platform is to monitor and make the data process transparent, so it will not provide or develop specific data processing algorithms, etc. The data processing algorithms are all derived from the data processing end; at the same time, the equipment for data processing also comes from the data processing end. However, in order to avoid the leakage of information in data processing, it is necessary to use a matter processing host in a secure and closed environment. The data processing information of the matter processing host is required not to be obtained by the data processing end to ensure security;

[0060] Preferably, the method further comprises the steps of:

[0061] Configure an analysis server, which is used to analyze user data and assign processing tasks to multiple data processing terminals. The analysis server is also used to send user data to a data receiving interface. After receiving the processing task, the data processing terminal accesses the rule database to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface.

[0062] The analysis server is mainly used in joint processing scenarios, which requires data processing task generation and allocation before executing the above steps.

[0063] A data interaction system based on privacy protection, such as Figure 2 As shown, the system includes a monitoring platform 10, a data owning terminal 11 and a data processing terminal 12;

[0064] The monitoring platform 10 includes a data receiving interface 100, a task receiving interface 101, a cloud server 102 and a rule database 103; the data of the data owner 11 is received through the data receiving interface 100, and the data processing strategy of the data processing terminal 12 is received through the task receiving interface 101; the data processing process is matched in the rule database 103 according to the data processing strategy, and the successfully matched data processing process and the received user data are sent to the event processing host 120 specified by the data processing terminal 12; the event processing host 120 processes the user data according to the data processing process, generates a processed data packet and feeds it back to the cloud server 102; the cloud server 102 verifies the data packet according to the set privacy protection strategy, and performs a privacy protection level score; the data processing strategy, data processing process, processed data packet and privacy protection level score are stored in the blockchain, and the generated blockchain access key is fed back to the data owner 11; the satisfaction feedback information of the data owner 11 is received, and when the satisfaction meets the set standard, the processed data packet is sent to the data processing terminal 12.

[0065] Preferably, the data processing flow in the rule database 103 is uploaded and maintained by the data processing terminal 12, and the maintenance record is stored in the rule database log; the data processing strategy stores matching information with the data processing flow;

[0066] The monitoring platform 10 receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back the success information to the data processing end, and calls the event processing host specified by the data processing end, which performs the event processing.

[0067] The event processing host 120 is provided by the data processing end and is in a secure and closed environment;

[0068] When the matching data processing flow is successful, remote communication between the event processing host 120 and the cloud server 102 is established, the event processing is completed and the processed data packet is uploaded, and the connection between the event processing host 120 and the cloud server 102 is disconnected;

[0069] It should be noted that the core purpose of the monitoring platform is to monitor and make the data process transparent. Therefore, it will not provide or develop specific data processing algorithms. The data processing algorithms are all derived from the data processing end. At the same time, the equipment for data processing also comes from the data processing end. However, in order to avoid the leakage of information in data processing, it is necessary to use an event processing host in a secure and closed environment. The data processing information of the event processing host is required not to be obtained by the data processing end to ensure security.

[0070] Preferably, the system further comprises an analysis server 13, which is used to analyze user data and assign processing tasks to multiple data processing terminals 12; the analysis server 13 is also used to send user data to a data receiving interface; after receiving the processing task, the data processing terminal 12 accesses the rule database 103 to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface 101;

[0071] The analysis server 13 is mainly used in joint processing scenarios, and needs to generate and allocate data processing tasks first, and then execute the above steps.

[0072] A data interaction system terminal based on privacy protection comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0073] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of the above method when executed by a processor.

[0074] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all these improvements and changes should fall within the scope of protection of the appended claims of the present invention.

Claims

1. A data interaction method based on privacy protection, characterized in that: The following steps are involved: Build a monitoring platform, which includes a data receiving interface, a task receiving interface, a cloud server, and a rule database; Receive data from the data owner through the data receiving interface, and receive data processing strategies from the data processing end through the task receiving interface; Matching data processing flow in the rule database according to the data processing strategy, and sending the successfully matched data processing flow and received user data to the event processing host specified by the data processing end; The event processing host processes user data according to the data processing flow, generates processed data packets and feeds them back to the cloud server; The cloud server verifies the data packet according to the set privacy protection policy and performs privacy protection level scoring; The data processing strategy, data processing flow, processed data packets and privacy protection level scores are stored in the blockchain, and the generated blockchain access key is fed back to the data owner; Receive satisfaction feedback from the data owner, and send the processed data packet to the data processing end when the satisfaction meets the set standards.

2. The data interaction method based on privacy protection according to claim 1, characterized in that: The method of matching the data processing flow in the rule database according to the data processing strategy, and sending the successfully matched data processing flow and the received user data to the event processing host designated by the data processing terminal adopts: The data processing flow in the rule database is uploaded and maintained by the data processing terminal, and the maintenance record is stored in the rule database log; the data processing strategy stores matching information with the data processing flow; The monitoring platform receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back the success information to the data processing end, and calls the event processing host specified by the data processing end, which then processes the event.

3. The data interaction method based on privacy protection according to claim 2 is characterized in that: The event processing host is provided by the data processing terminal and is in a secure and closed environment; When the matching data processing flow is successful, remote communication between the event processing host and the cloud server is established. After the event is processed and the processed data packet is uploaded, the connection between the event processing host and the cloud server is disconnected.

4. The data interaction method based on privacy protection according to claim 2 is characterized in that: The method further comprises the steps of: An analysis server is configured, which is used to analyze user data and assign processing tasks to multiple data processing terminals. The analysis server is also used to send user data to a data receiving interface. After receiving the processing task, the data processing terminal accesses the rule database to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface.

5. A data interaction system based on privacy protection, characterized in that: The system includes a monitoring platform, a data ownership terminal and a data processing terminal; The monitoring platform includes a data receiving interface, a task receiving interface, a cloud server and a rule database; the data receiving interface receives data from the data owner, and the task receiving interface receives data processing strategies from the data processing end; Matching data processing flow in the rule database according to the data processing strategy, and sending the successfully matched data processing flow and received user data to the event processing host specified by the data processing end; The event processing host processes user data according to the data processing flow, generates processed data packets and feeds them back to the cloud server; The cloud server verifies the data packet according to the set privacy protection strategy and performs a privacy protection level score; stores the data processing strategy, data processing flow, processed data packet and privacy protection level score in the blockchain, and feeds back the generated blockchain access key to the data owner; receives satisfaction feedback information from the data owner, and sends the processed data packet to the data processing end when the satisfaction meets the set standards.

6. The data interaction system based on privacy protection according to claim 5, characterized in that: The data processing flow in the rule database is uploaded and maintained by the data processing terminal, and the maintenance record is stored in the rule database log; the data processing strategy stores matching information with the data processing flow; The monitoring platform receives the data processing strategy sent by the data processing end, searches for the corresponding data processing process in the rule database, feeds back success information to the data processing end after finding it, and calls the event processing host specified by the data processing end, which performs event processing.

7. The data interaction system based on privacy protection according to claim 6, characterized in that: The event processing host is provided by the data processing terminal and is in a secure and closed environment; When the matching data processing flow is successful, remote communication between the event processing host and the cloud server is established. After the event is processed and the processed data packet is uploaded, the connection between the event processing host and the cloud server is disconnected.

8. The data interaction system based on privacy protection according to claim 6, characterized in that: The system also includes an analysis server, which is used to analyze user data and assign processing tasks to multiple data processing terminals; the analysis server is also used to send user data to a data receiving interface; after receiving the processing task, the data processing terminal accesses the rule database to verify the corresponding data processing flow, and generates a data processing strategy and sends it to the task receiving interface.

9. A data interaction system terminal based on privacy protection, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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