A data transaction system and method based on data empowerment

Abstract

A data transaction system and method based on data empowerment, the system comprises an identity authentication module for receiving input of the identity information of a provider or a demander, and obtaining a score matched with the identity information of the provider or the demander; a provider module for registering data matched with the score of the data provider according to the score of the data provider; a demander module for calling data matched with the score of the data demander according to the score of the data demander, and generating a transaction request according to selected to-be-transacted data; a management platform for storing registered data and user information, classifying and grading the stored data, scoring the user information, and feeding back the score matched with the provider or the demander to the identity authentication module; and a transaction module for auditing the transaction request and the information of the transaction parties, and sending the demander information and the transaction request to the provider after the audit is passed, and completing the data transaction and empowerment after the provider is verified.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data transaction, in particular to a data transaction system and method based on data empowerment. BACKGROUND

[0002] With the rapid development of Internet, Internet of Things, artificial intelligence, cloud computing and other technologies, data has become an extremely important core resource with huge social and economic value, and is called new oil. At the same time, the innovative development of data industry promotes the construction and improvement of data transaction system, and through the sale, purchase and transfer of data products, the exchange of data products is used to realize the value of data. Data demanders obtain a large amount of data through data transaction, and collect, sort and analyze the data, and then form a decision to guide their relevant behavior, helping their benign development.

[0003] The transaction mode of data mainly includes C2B mode and B2B mode. The former mainly sells the collected data to enterprises with demand, and the latter takes the data transaction platform as the third party and provides transaction matching services for the providers and data demanders as an intermediary agent. The data providers and data demanders are all enterprises registered and audited in the data transaction platform.

[0004] The traditional data transaction platform can only trade standardized data of specific categories. With the continuous diversification of data types, it is necessary to establish a transaction platform with more extensive tradable data categories, thereby providing a basis for the transaction of more categories of data. However, the existing data transaction platform, while expanding the transaction categories, only conducts qualification examination on the data transaction parties, and does not score in combination with whether the historical transactions of the transaction parties meet the relevant audit standards, resulting in the problems of large amount of screened data, many transactions not meeting the rules, and low security. SUMMARY

[0005] The purpose of the present application is to provide a data transaction system and method based on data empowerment, which determines the data transaction rights of data demanders or providers by scoring the data transaction parties, reduces the upload amount and processing amount of illegal data, reduces the amount of data transactions not meeting the regulations, improves the security of data in the transaction process, and solves the problems of large amount of screened data, many transactions not meeting the rules and low security caused by not scoring in combination with whether the historical transactions of the transaction parties meet the relevant audit standards in the prior art.

[0006] The present application is realized by the following technical solutions:

[0007] A data transaction system based on data empowerment, characterized in that it comprises an identity authentication module, a provider module, a demander module, a management platform and a transaction module, wherein:

[0008] The identity authentication module is configured to receive input identity information of a provider or a demander, and obtain a score matched with the identity information of the provider or the demander.

[0009] The provider module is configured to register data matched with the score of the data provider according to the score of the data provider.

[0010] The demander module is configured to call data matched with the score of the data demander according to the score of the data demander, and generate a transaction request according to the selected to-be-traded data.

[0011] The management platform is configured to store the registered data and user information, classify and grade the stored data, score the user information, and feed back the score matched with the provider or the demander to the identity authentication module.

[0012] The transaction module is configured to audit the transaction request and the information of the two parties of the transaction, and send the information of the demander and the transaction request to the provider after the audit, so that the data transaction and empowerment are completed after the verification of the provider.

[0013] In the prior art, the B2B transaction platform mainly provides a matching service for the data provider and the demander, that is, the data seller and the data buyer, in the identity of an intermediary agent. After the data buyer pays the amount corresponding to the data package, the data seller sends the key for decrypting the corresponding data to the data buyer, so that the data transaction and empowerment are completed. However, the early data transaction platform can only trade data of a specific field, a specific category and a specific format, which greatly limits the registration amount of data and the transaction range of the platform, and is not conducive to the development of the big data industry. Therefore, a transaction platform capable of adapting to diversified data registration gradually appears. However, the transaction platform with more extensive data categories can only examine the qualifications of the two parties of the data transaction, and after the qualification examination, the data provider cannot register a large amount of unqualified, non-compliant and forbidden data, so that a large amount of data cleaning, data auditing and data verification work is required after the data registration, which not only greatly prolongs the transaction response time, but also increases the error rate of data registration, causes some non-compliant and forbidden data to be missed, and reduces the reliability and security of the transaction platform, which is an important reason why the current transaction platform cannot make further progress.

[0014] To solve the above problems, the present application provides a data transaction system based on data empowerment and a corresponding transaction method.

[0015] Specifically, the present application comprises an identity authentication module, a provider module, a demander module, a management platform and a transaction module.

[0016] The identity authentication module is used for user information registration and login. The same user can be a data provider or a data demander, or both. After the identity authentication module collects the input user information, the identity authentication module sends the user information to the management platform. The management platform calls the score of the user as a provider and the score of the user as a demander, and sends the scores to the identity authentication module. The identity authentication module sends the corresponding scores to the provider module and the demander module, respectively.

[0017] The provider module is used for data registration, cleaning, auditing, and encryption, so as to register qualified data matching the score of the provider to the management platform. After the provider module receives the score of the user as a provider, the provider module determines whether the registered data meets the registration conditions, such as the data type, data category, data packet size, data encryption level, and the like, according to the score interval of the score. If the registration conditions are met, the subsequent cleaning, auditing, and encryption steps are continued. Otherwise, the registration is not allowed, and the provider is notified that the data does not meet the registration conditions. Therefore, based on the score of the provider, the registered data can be filtered from the source, and the unqualified or illegal data is greatly reduced.

[0018] The demander module is used for data retrieval, calling, and generating a transaction request according to the selection of the demander. After the demander module receives the score of the user as a demander, the demander module determines whether the data to be retrieved meets the retrieval conditions, such as the specific data encryption level, data category, data type, and the like, according to the score interval of the score. If the retrieval conditions are met, the related data is called. Otherwise, the data is not called. The classification of the retrieved data finally displayed to the demander is matched with the score of the demander, so that the data provider is matched with a real, exact demand, and credit data demander, unnecessary transaction requests are significantly reduced, and transaction efficiency and security are improved.

[0019] The management platform is used for storing qualified data processed by the provider module, generating a directory based on the qualified data, and classifying all data in the directory. In some embodiments, the data classification standard can be the encryption level of the data, the value of the data, or other standards, and the data classification corresponds to the score range of the data provider or the demander. In addition to storing, classifying, and classifying the qualified data, the management platform also stores and scores the user information of the registered or logged-in user. For transaction information that can reflect a positive effect on transactions, such as the qualified rate of registered data, the score of the provider is increased. Otherwise, for transaction information that can reflect a negative effect on transactions, such as the proportion of illegal data, the score of the provider is decreased.

[0020] In some embodiments, the management platform adjusts the provider's rating based on the provider's registration data qualification rate, violation data rate, data transaction price, data transaction rate, data transaction volume, provider risk score, and demander complaints; and adjusts the demander's rating based on the demander's data transaction volume, demander risk score, and provider complaints. In one embodiment, the risk score of the provider or demander is based on its latest corporate dynamics, the market dynamics of its industry, industry cycles, and other factors.

[0021] After receiving a transaction request from the management platform, the trading platform reviews the request and the information of both parties, determining whether the request complies with the platform's preset data trading rules, whether the parties are in competition, and whether the transaction would harm the interests of any third party. If the review is successful, the trading module sends the data requester's information and the transaction request to the provider module for verification. After the data provider confirms the requester's information and agrees to the transaction request, it sends the decryption key for the data packet to the trading module. After the requester pays the corresponding amount to the trading platform or the provider, the requester obtains the decryption key, completing the data transaction and authorization.

[0022] Through the above settings, this technical solution adjusts the ratings of both parties in a data transaction based on information such as data registration status, data transaction status, and industry dynamics, and classifies the data. According to the correspondence between ratings and analysis, data providers are allowed to register only data that matches their rating, filtering registered data from the source and significantly reducing unqualified or illegal registrations. Simultaneously, data requesters are allowed to retrieve and select only data that matches their rating, thus more accurately matching data providers with genuine, definite, and trustworthy data requesters, significantly reducing unnecessary transaction requests and improving transaction efficiency and security. Furthermore, to enable the registration or purchase of higher-rated data, the platform encourages both parties to complete transactions with greater integrity to obtain higher ratings, which is conducive to the healthy development of the trading platform.

[0023] In a preferred embodiment of the provider module of the present invention, the provider module includes a registration unit and an auditing unit. The registration unit collects data matching the provider's rating. The auditing unit audits the collected data, encrypts qualified data, and sends the encrypted data and corresponding provider information to the management platform. The management platform stores qualified data and increases the provider's rating. The auditing unit sends non-compliant data and corresponding provider information to the management platform. The management platform manages non-compliant data and decreases the provider's rating. The registration unit, as a preliminary screening unit, registers data that meets the registration conditions based on the correspondence between the provider's rating range and the registration conditions. The type, category, data packet size, and encryption level of the registered data are all preliminarily screened by the registration unit. Registered data is sent to the auditing unit, which performs a second screening based on the platform's preset rules. Qualified data is encrypted using the provider's public or private key and sent to the management platform for storage. Non-compliant data is sent directly to the management platform without encryption, and the management platform manages the non-compliant data. After storing qualified data, the management platform adjusts the data provider's score based on the improvement in the data qualification rate or the assessment of data value. Conversely, after acquiring non-compliant data, the platform lowers the data provider's score or even cancels the provider's data registration qualification based on the increase in the proportion of non-compliant data or the absolute increase in the amount of prohibited data. Through this registration method, the platform does not review whether the data is non-compliant or prohibited after authenticating the data provider's identity information. All data that meets the registration conditions corresponding to its score can be sent to the review unit for review on compliance, legality, and tradability. At the same time, providers of non-compliant data are marked, and their scores are lowered in the backend, reducing their access to data registration in the future. This user-information-prioritized data registration method lowers the threshold for data registration within a controllable range, but prevents the listing of non-compliant data, increases the data volume of the trading platform, and ensures the security and reliability of transactions. Furthermore, by lowering user scores, users are restricted from uploading data in the future, accurately locating non-compliant users and taking effective punitive measures.

[0024] Furthermore, the provider module also includes a re-inspection unit. This re-inspection unit is used to sample and inspect data that has passed the audit unit's review, and then encrypts and sends the re-inspected data to the management platform. The re-inspection unit performs a three-stage screening of the registered data. After the qualified data obtained from the audit unit's second screening is sent to the re-inspection unit, the re-inspection unit conducts a sample inspection of the qualified data according to preset audit standards. This multi-dimensional auditing of the data ensures the legitimate rights of the data provider, while simultaneously regulating digital hegemony and promoting the healthy development of the data trading market.

[0025] Furthermore, the demand-side module includes a retrieval unit, a retrieval unit, and a display unit. The retrieval unit generates retrieval fields based on the input retrieval information. The retrieval unit retrieves data matching the demand-side rating from the management platform based on the retrieval fields. The display unit displays the retrieved data, generates a transaction request based on the selected transaction data, and sends the transaction request to the management platform. After obtaining the retrieval information input by the demand-side, the retrieval unit generates retrieval fields with keywords and sends them to the retrieval unit. The retrieval unit then sends the retrieval fields to the management platform's database and retrieves data matching the demand-side rating from the database.

[0026] In a preferred embodiment of the management platform of the present invention, the management platform includes a data registration library, a directory generation unit, a data acquisition unit, and a violation data storage unit. The data registration library stores data that has passed the review of the provider module. The directory generation unit generates a directory based on the approved data. The data acquisition unit retrieves data that meets the requirements from the data registration library according to the directory after the demand-side module generates a search instruction. The violation data storage unit stores violation data that has been reviewed by the provider module. After storing encrypted data that has passed the review of the registration unit or the review unit, the data registration library clusters the data to form first-level branches. Multiple first-level branches are then clustered to form second-level branches, and so on, until a directory is finally formed. For data outside the directory, this type of data is first placed in a pending branch. After the directory is formed, it is determined whether the data can be placed in any branch of the directory. If it can, it is placed; otherwise, a new first-level branch is created, using the main keywords of this type of data as the branch label. When the data acquisition unit receives a search instruction from the demand-side module or the retrieval unit, it searches for data at each level of the branch that matches the demand-side rating according to the directory index. The violation data storage unit is used to store violation data reviewed by the provider module or the review module. In this technical solution, data is clustered using relational clustering to form multi-level branches such as first-level branches and second-level branches, thereby creating a directory index with a larger package capacity and more closely reflecting the characteristics of the stored data, avoiding the situation where some branches of the directory are empty of data. In addition, for exceptional data, a method of first classifying and then generating branches can further improve the integrity of the directory and realize a directory index for all stored data.

[0027] Furthermore, the management platform includes a data grading unit, which grades the data in the data registry. The data acquisition unit retrieves data of the corresponding grade from the data registry based on the rating of the requester sending the retrieval command. The grading unit grades the stored data according to preset grading standards of the transaction system, such as absolute transaction volume, data source, data risk, and data encryption level. The grading is tagged in the database with labels. When the acquisition unit receives a retrieval command from the reverse retrieval unit, it retrieves the data of the specified grade based on the requester's rating, thereby displaying only encrypted data matching the requester's rating to the requester. This further reduces unnecessary and false transaction requests, improving transaction efficiency and security.

[0028] Furthermore, the management platform includes a user information database and a user information scoring unit. The user information database is used to store the input user information, and the user information scoring unit is used to adjust the scores corresponding to the user information.

[0029] Furthermore, the transaction module includes a transaction review unit and a data authorization unit. The transaction review unit is used to review whether the transaction request and the information of both parties meet the transaction rules. After the review is passed, the requester information and the transaction request are sent to the provider for verification. The data authorization unit is used to send the decryption key corresponding to the data to be traded to the requester after the requester pays the amount corresponding to the data to be traded.

[0030] This invention also provides a data transaction method based on data empowerment, the method comprising the following steps:

[0031] The rating of the provider or demander is obtained based on the identity information of the provider or demander entered.

[0032] Register data that matches the provider's rating based on the provider's rating, and / or retrieve data that matches the demander's rating based on the demander's rating;

[0033] Classify and grade the stored data, and score the providers or demanders;

[0034] A transaction request is generated based on the data to be traded selected by the demander. After the transaction request is approved, the demander information and the transaction request are sent to the provider for verification. After verification is completed and the demander pays the amount for the data to be traded, the decryption key for the data to be traded is sent to the demander.

[0035] Furthermore, in the above steps, the provider's rating is adjusted based on the provider's registration data qualification rate, violation data rate, data transaction price, data transaction rate, data transaction quantity, provider risk score, and demander complaint status; the demander's rating is adjusted based on the demander's data transaction quantity, demander risk score, and provider complaint status.

[0036] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0037] 1. This invention adjusts the ratings of both parties in a data transaction based on information such as data registration status, data transaction status, and industry dynamics, and classifies the data. According to the correspondence between ratings and analysis, data providers are allowed to register only data that matches their ratings, thus screening the registered data from the source and significantly reducing unqualified or illegal data registrations. At the same time, data requesters are allowed to retrieve and select only data that matches their ratings, thereby more accurately matching data providers with real data requesters who have specific needs and credibility, significantly reducing unnecessary transaction requests and improving transaction efficiency and security.

[0038] 2. After authenticating the identity information of the data provider, this invention does not review whether the data is illegal or prohibited. All data that meets the registration conditions corresponding to its score can be sent to the review unit for review to determine whether it is compliant and legal and whether the data is tradable. At the same time, providers of illegal data are marked and their scores are lowered in the background, reducing their access to data registration in the future. This data registration method that prioritizes user information lowers the threshold for data registration within a controllable range, but avoids the listing of illegal data, increases the data volume of the trading platform, and ensures the security and reliability of transactions. At the same time, by lowering the user's score, users are restricted when uploading data in the future, accurately locating illegal users and taking effective punitive measures.

[0039] 3. This invention clusters data through relational clustering, forming multi-level branches such as first-level branches and second-level branches, thereby creating a directory index with a larger capacity and closer to the characteristics of the stored data, avoiding the situation where some branches of the directory have no data. In addition, for exceptional data, the method of first classifying and then generating branches can further improve the integrity of the directory and realize the directory index of all stored data.

[0040] 4. In order to enable users to register or purchase data with higher ratings, the platform encourages both parties to complete transactions with greater integrity in order to obtain higher ratings, which is conducive to the healthy development of the trading platform. Attached Figure Description

[0041] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 This is a structural block diagram of the data transaction system in a specific embodiment of the present invention;

[0043] Figure 2 This is a structural block diagram of the data provider module in a specific embodiment of the present invention;

[0044] Figure 3 This is a structural block diagram of the data demand side module in a specific embodiment of the present invention;

[0045] Figure 4 This is a structural block diagram of the management platform in a specific embodiment of the present invention;

[0046] Figure 5 This is a flowchart of the data transaction method in a specific embodiment of the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of this invention are only for explaining this invention and are not intended to limit this invention.

[0048] Example 1:

[0049] like Figure 1 The data trading system shown includes an identity authentication module, a provider module, a demand-side module, a management platform, and a trading module, wherein:

[0050] The identity authentication module is used to receive the identity information of the provider or the demander and obtain a score that matches the identity information of the provider or the demander.

[0051] The provider module is used to register data that matches the data provider's rating based on the data provider's rating.

[0052] The demand-side module is used to retrieve data that matches the data demander's rating based on the data demander's rating, and generate a transaction request based on the selected data to be traded.

[0053] The management platform is used to store registered data and user information, classify and classify the stored data, score user information, and provide feedback to the identity authentication module on the score that matches the provider or the requester.

[0054] The transaction module is used to review transaction requests and information of both parties. After the review is approved, the requester's information and transaction request are sent to the provider. After verification, the provider completes the data transaction and authorization.

[0055] In one or more embodiments, the data type may be image, audio / video, PDF, Excel, Doc, MySQL, Oracle, SQL Server, DB2, PostgreSQL, Hive, or other data types.

[0056] In one or more embodiments, the management platform adjusts the provider's rating based on the provider's registration data qualification rate, violation data rate, data transaction price, data transaction rate, data transaction volume, provider risk score, and demander complaint status; and adjusts the demander's rating based on the demander's data transaction volume, demander risk score, and provider complaint status. In one embodiment, the risk score of the provider or demander is based on its latest corporate dynamics, market dynamics of the industry, industry cycle, and other factors.

[0057] In one or more embodiments, the rights granted by the provider to the demander may be the right to use the data or the right to own the data.

[0058] In some embodiments, the transaction module includes a transaction review unit and a data authorization unit. The transaction review unit is used to review whether the transaction request and the information of both parties meet the transaction rules. After the review is passed, the requester information and the transaction request are sent to the provider for verification. The data authorization unit is used to send the decryption key corresponding to the data to be traded to the requester after the requester pays the amount corresponding to the data to be traded.

[0059] This embodiment adjusts the ratings of both parties in a data transaction based on information such as data registration status, data transaction status, and industry dynamics, and classifies the data. According to the correspondence between ratings and analysis, data providers are allowed to register only data that matches their rating, filtering registered data from the source and significantly reducing unqualified or illegal data registrations. Simultaneously, data requesters are allowed to retrieve and select only data that matches their rating, thus more accurately matching data providers with genuine, definite, and trustworthy data requesters, significantly reducing unnecessary transaction requests and improving transaction efficiency and security. Furthermore, to enable the registration or purchase of higher-rated data, the platform encourages both parties to complete transactions with greater integrity to obtain higher ratings, which is conducive to the healthy development of the trading platform.

[0060] Example 2:

[0061] Based on Example 1, such as Figure 2 As shown, the provider module includes a registration unit and an auditing unit. The registration unit is used to collect data that matches the provider's rating. The auditing unit is used to audit the collected data, encrypt the data that passes the audit, and send the encrypted data and the corresponding provider information to the management platform. The management platform stores the data that passes the audit and increases the provider's rating. The auditing unit sends the data that violates the audit and the corresponding provider information to the management platform. The management platform manages the data that violates the audit and decreases the provider's rating.

[0062] In this embodiment, after authenticating the identity information of the data provider, the platform does not review whether the data is illegal or prohibited. All data that meets the registration conditions corresponding to its score can be sent to the review unit for verification of compliance, legality, and tradability. At the same time, providers of illegal data are marked, and their scores are lowered in the background, reducing their access to data registration in the future. This data registration method, which prioritizes user information, lowers the threshold for data registration within a controllable range, while preventing the listing of illegal data. It increases the data volume of the trading platform while ensuring the security and reliability of transactions. Furthermore, by lowering user scores, users are restricted from uploading data in the future, accurately locating illegal users and taking effective punitive measures.

[0063] In some embodiments, such as Figure 2 As shown, the provider module also includes a re-inspection unit. This re-inspection unit is used to sample and inspect data that has passed the audit unit's review, and then encrypts and sends the re-inspected data to the management platform. The re-inspection unit performs sampling inspections on qualified data according to preset audit standards. Through multi-dimensional auditing of the data, it ensures the legitimate rights of the data provider, regulates digital hegemony, and promotes the healthy development of the data trading market. In one or more embodiments, the multi-dimensional audit includes data source auditing, data processing auditing, data output content auditing, and data security auditing.

[0064] Example 3:

[0065] Based on the above embodiments, such as Figure 3 As shown, the demand-side module includes a retrieval unit, a retrieval unit, and a display unit. The retrieval unit is used to form retrieval fields based on the input retrieval information. The retrieval unit is used to retrieve data that matches the demand-side rating from the management platform based on the retrieval fields. The display unit is used to display the retrieved data, generate a transaction request based on the selected transaction data, and send the transaction request to the management platform.

[0066] Example 4:

[0067] Based on the above embodiments, such as Figure 4 As shown, the management platform includes a data registration library, a directory generation unit, a data acquisition unit, and a violation data storage unit. The data registration library is used to store data that has passed the review of the provider module. The directory generation unit is used to generate a directory based on the approved data. The data acquisition unit is used to retrieve data that meets the requirements from the data registration library based on the directory after the demand module generates a search instruction. The violation data storage unit is used to store violation data that has been reviewed by the provider module.

[0068] After the data registry stores encrypted data that has passed the review of the registration or re-examination units, it clusters the data to form first-level branches. Multiple first-level branches are then clustered to form second-level branches, and so on, ultimately forming a directory. For data outside the directory, it is first placed in a pending branch. Once the directory is formed, it is determined whether the data can be placed in any branch of the directory. If it can, it is placed; otherwise, a new first-level branch is created, using the main keyword of that data type as the branch label.

[0069] In one or more embodiments, the violation data is classified, and the score of the data provider is adjusted downward according to the level of violation data.

[0070] In some embodiments, such as Figure 4 As shown, the management platform includes a data grading unit, which grades the data in the data registry. The data acquisition unit retrieves data of the corresponding grade from the data registry based on the rating of the requester who sends the retrieval command. The grading unit grades the stored data according to preset grading standards of the transaction system, such as absolute transaction volume, data source, data risk, and data encryption level. The grading is tagged in the database with labels. When the acquisition unit receives a retrieval command from the reverse retrieval unit, it retrieves the data of the specified grade based on the requester's rating, thus only displaying encrypted data matching the requester's rating to the requester. This further reduces unnecessary and false transaction requests, improving transaction efficiency and security.

[0071] In some embodiments, such as Figure 4 As shown, the management platform includes a user information database and a user information scoring unit. The user information database is used to store the input user information, and the user information scoring unit is used to adjust the scores corresponding to the user information.

[0072] Example 5:

[0073] like Figure 5 The illustrated data transaction method based on data empowerment includes the following steps:

[0074] The rating of the provider or demander is obtained based on the identity information of the provider or demander entered.

[0075] Register data that matches the provider's rating based on the provider's rating, and / or retrieve data that matches the demander's rating based on the demander's rating;

[0076] Classify and grade the stored data, and score the providers or demanders;

[0077] A transaction request is generated based on the data to be traded selected by the demander. After the transaction request is approved, the demander information and the transaction request are sent to the provider for verification. After verification is completed and the demander pays the amount for the data to be traded, the decryption key for the data to be traded is sent to the demander.

[0078] In some embodiments, the above steps adjust the provider's score based on the provider's registration data qualification rate, violation data rate, data transaction price, data transaction rate, data transaction quantity, provider risk score, and demander complaint status; and adjust the demander's score based on the demander's data transaction quantity, demander risk score, and provider complaint status.

[0079] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A data trading system based on data empowerment, characterized in that, It includes an identity authentication module, a provider module, a demand-side module, a management platform, and a transaction module, among which: The identity authentication module is used to receive the identity information of the provider or the demander and obtain a score that matches the identity information of the provider or the demander. The provider module is used to register data that matches the data provider's rating based on the data provider's rating. The provider module includes a registration unit and an auditing unit. The registration unit is used to collect data that matches the provider's rating. The auditing unit is used to audit the collected data, encrypt the data that passes the audit, and send the encrypted data and the corresponding provider information to the management platform. The management platform stores the data that passes the audit and increases the provider's rating. The auditing unit sends the data that violates the audit and the corresponding provider information to the management platform. The management platform manages the data that violates the audit and decreases the provider's rating. The demand-side module is used to retrieve data that matches the data demander's rating based on the data demander's rating, and generate a transaction request based on the selected data to be traded. The demand-side module includes a retrieval unit, a retrieval unit, and a display unit. The retrieval unit is used to form retrieval fields based on the input retrieval information. The retrieval unit is used to retrieve data that matches the demander's rating from the management platform based on the retrieval fields. The display unit is used to display the retrieved data, generate a transaction request based on the selected data to be traded, and send the transaction request to the management platform. The management platform is used to store registered data and user information, classify and classify the stored data, score user information, and provide feedback to the identity authentication module on the score that matches the provider or the requester. The transaction module is used to review transaction requests and information of both parties. After the review is approved, the requester's information and transaction request are sent to the provider. After verification, the provider completes the data transaction and authorization.

2. A data trading system based on data empowerment according to claim 1, characterized in that, The provider module also includes a re-inspection unit, which is used to sample and inspect the data that has passed the audit unit's review, and then encrypt the re-inspected data and send it to the management platform.

3. A data trading system based on data empowerment according to claim 1, characterized in that, The management platform includes a data registration library, a directory generation unit, a data acquisition unit, and a violation data storage unit. The data registration library is used to store data that has passed the review of the provider module. The directory generation unit is used to generate a directory based on the approved data. The data acquisition unit is used to retrieve data that meets the requirements from the data registration library based on the directory after the demand module generates a search instruction. The violation data storage unit is used to store violation data that has been reviewed by the provider module.

4. A data trading system based on data empowerment according to claim 3, characterized in that, The management platform includes a data classification unit, which is used to classify the data in the data registry. The data acquisition unit retrieves the data of the corresponding classification from the data registry based on the rating of the requester who sent the retrieval instruction.

5. A data trading system based on data empowerment according to claim 3, characterized in that, The management platform includes a user information database and a user information scoring unit. The user information database is used to store the input user information, and the user information scoring unit is used to adjust the scores corresponding to the user information.

6. A data trading system based on data empowerment according to claim 1, characterized in that, The transaction module includes a transaction review unit and a data authorization unit. The transaction review unit is used to review whether the transaction request and the information of both parties meet the transaction rules. After the review is passed, the requester information and transaction request are sent to the provider for verification. The data authorization unit is used to send the decryption key corresponding to the data to be traded to the requester after the requester pays the amount corresponding to the data to be traded.

7. A data transaction method based on data empowerment, characterized in that, The data trading system based on data empowerment as described in claim 1 includes the following steps: The rating of the provider or demander is obtained based on the identity information of the provider or demander entered. Register data that matches the provider's rating based on the provider's rating, and / or retrieve data that matches the demander's rating based on the demander's rating; Classify and grade the stored data, and score the providers or demanders; A transaction request is generated based on the data to be traded selected by the demander. After the transaction request is approved, the demander information and the transaction request are sent to the provider for verification. After verification is completed and the demander pays the amount for the data to be traded, the decryption key for the data to be traded is sent to the demander.

8. A data transaction method based on data empowerment according to claim 7, characterized in that, In the above steps, the provider's rating is adjusted based on the provider's registration data qualification rate, violation data rate, data transaction price, data transaction rate, data transaction quantity, provider risk score, and demander complaints; the demander's rating is adjusted based on the demander's data transaction quantity, demander risk score, and provider complaints.

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