CN113283990B - Data sharing processing method and device - Google Patents
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Abstract
The invention provides a data sharing processing method and a device, wherein the method comprises the following steps: uploading asset information of the data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider; in the event that the identity verification is verified and the verification is passed, double verifying the data asset by federal learning and the blockchain; after the double check is passed, the data asset is shared among the participating nodes of the blockchain through the blockchain, so that the problems that the data provided by a related technology data transaction platform mainly takes inquiry service as a main part, the use mode is single, and the data circulation is limited can be solved.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a data sharing processing method and apparatus.
Background
The data transaction platform provides a platform meeting supply and demand requirements for data owners and data requesters, and circulation of data is realized to a certain extent. However, there are many drawbacks to data flow based on this platform; firstly, a data provider needs to package and upload data, and a data query result is displayed in a source data information careless manner, and the disclosure of a data domain and original information brings potential safety hazards to data security. In addition, the data types circulated on the platform are limited, and the mode can not realize circulation for some sensitive and high-value data which are urgently needed by each enterprise, such as transaction data of banks, blacklists of credit, whitelists and the like. Moreover, the data use mode is single, mainly the query service is mainly used, and the current demands of various enterprises on the data are more prone to transformation of large data value, such as joint statistics, joint modeling and the like.
The above problems all prevent the effective circulation of data, and in order to solve the problems, a data element trading platform based on blockchain and federal learning is proposed herein. Through combining the federal learning technology, the circulation of the data is realized in the form of data service transaction, and the value of the data is realized and the data safety is ensured under the condition that the source data does not leave the domain. In addition, the block chain technology is introduced to store and track the whole processes of data service such as loading, transaction, delivery and the like, and technical support is provided for data tracing, auditing, clear responsibility, clear rights and interests and the like.
Aiming at the problems that the data provided by the related art data transaction platform mainly comprise query service and the use mode is single, so that the data circulation is limited, no solution is proposed yet.
Disclosure of Invention
The embodiment of the invention provides a data sharing processing method and a data sharing processing device, which are used for at least solving the problem that data circulation is limited due to single use mode because data provided by a related technology data transaction platform mainly takes inquiry service as a main part.
According to an embodiment of the present invention, there is provided a data sharing processing method including:
uploading asset information of the data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
in the event that the identity verification is verified and the verification is passed, double verifying the data asset by federal learning and the blockchain;
after the double check passes, the data asset is shared between participating nodes of the blockchain through the blockchain.
Optionally, after sharing the data asset between participating nodes of the blockchain by the blockchain, the method further comprises:
transacting the data asset;
after the transaction is completed, the data asset is delivered through the blockchain and federal learning.
Optionally, communicating the data asset through the blockchain and the federal learning includes:
receiving an acquisition request for acquiring the data use permission of the target data asset initiated by a data requester through a target participating node;
and granting the data use authority to the target participation node according to the acquisition request, so that the target participation node uses the target data asset by calling an application program interface (Application Program Interface, called API for short) based on the data use authority.
Optionally, the method further comprises:
before granting the data use authority to the target participating node according to the acquisition request, verifying identity information of a data provider corresponding to the target data asset by the data requester through the intelligent contract;
after passing the identity verification, verifying the validity of the target data asset according to asset information of the target data asset;
after the validity verification is passed, determining a target virtual resource required for acquiring the target data asset according to the asset value of the target data asset;
freezing the target virtual resource from the account of the data requester;
and deducting the target virtual resource from the account of the data requester after granting the data use authority to the target participating node according to the acquisition request.
Optionally, uploading asset information of the data asset into the blockchain in the form of a log through the smart contract includes:
triggering a corresponding registration event by running the function defined by the intelligent contract to upload log information into the blockchain, wherein the log information carries asset information of the asset data.
Optionally, before uploading asset information of the data asset in the blockchain in the form of a log by the smart contract, the method further comprises:
registering the data asset through an addAsset function;
the asset ID is generated by hashing the data asset, wherein the asset information includes metadata, a data description, and the asset ID.
According to another embodiment of the present invention, there is also provided a data sharing processing apparatus including:
the uploading module is used for uploading asset information of the data asset to the blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
the double-checking module is used for carrying out double checking on the data asset through federal learning and the blockchain under the condition that the identity authentication is verified and the authentication is passed;
and the sharing module is used for sharing the data asset among the participating nodes of the blockchain through the blockchain after the double check passes.
Optionally, the apparatus further comprises:
a transaction module for transacting the data asset;
and the delivery module is used for delivering the data asset through the blockchain and federal learning after the transaction is completed.
Optionally, the delivering module includes:
the acquisition sub-module is used for receiving an acquisition request for acquiring the data use permission of the target data asset initiated by the data request party through the target participation node;
and the authorization sub-module is used for granting the data use authority to the target participation node according to the acquisition request so that the target participation node uses the target data asset by calling an API based on the data use authority.
Optionally, the apparatus further comprises:
the first verification sub-module is used for verifying the identity information of the data provider corresponding to the target data asset of the data requester through the intelligent contract before the data use permission is granted to the target participation node according to the acquisition request;
the second verification module is used for verifying the validity of the target data asset according to the asset information of the target data asset after the identity verification is passed;
the acquisition sub-module is used for determining target virtual resources required for acquiring the target data asset according to the asset value of the target data asset after the validity verification is passed;
a freezing sub-module for freezing the target virtual resource from the account of the data requester;
and the deduction submodule is used for deducting the target virtual resource from the account of the data requester after the data use permission is granted to the target participation node according to the acquisition request.
Optionally, the uploading module is further configured to trigger a corresponding registration event by running a function defined by the smart contract, so as to upload log information into the blockchain, where the log information carries asset information of the asset data.
Optionally, the apparatus further comprises:
the registration module is used for registering the data asset through an addAsset function;
and the generation module is used for generating the asset ID through carrying out hash processing on the data asset, wherein the asset information comprises metadata, data description and the asset ID.
According to a further embodiment of the invention, there is also provided a computer-readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the invention, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
According to the invention, asset information of the data asset is uploaded to the blockchain in a log form through the intelligent contract, wherein the asset information carries identity information of a data asset provider; in the event that the identity verification is verified and the verification is passed, double verifying the data asset by federal learning and the blockchain; after the double check is passed, the data asset is shared among the participating nodes of the blockchain through the blockchain, so that the problems that the data provided by a related technology data transaction platform is mainly query service, the use mode is single, and the data circulation is limited can be solved, the data asset is put on shelf through introducing the blockchain technology, the data is shared through the blockchain, the safe circulation of the data is promoted, and the technical support is provided for the data tracing.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
fig. 1 is a block diagram of a hardware structure of a mobile terminal of a data sharing processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a data sharing processing method according to an embodiment of the present invention;
FIG. 3 is a block diagram of a data sharing processing apparatus according to an embodiment of the present invention;
fig. 4 is a block diagram one of a data sharing processing apparatus according to an alternative embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
Example 1
The method embodiment provided in the first embodiment of the present application may be executed in a mobile terminal, a computer terminal or a similar computing device. Taking a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of the mobile terminal according to the data sharing processing method of the embodiment of the present invention, as shown in fig. 1, the mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processors 102 may include, but are not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, and optionally, the mobile terminal may further include a transmission device 106 for a communication function and an input/output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a data sharing processing method in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a data sharing processing method running on the mobile terminal or the network architecture is provided, fig. 2 is a flowchart of the data sharing processing method according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S202, uploading asset information of a data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
in this embodiment or the above step S202 may specifically include:
triggering a corresponding registration event by running the function defined by the intelligent contract to upload log information into the blockchain, wherein the log information carries asset information of the asset data.
Step S204, in the case that the identity verification is verified and the verification is passed, double verification is carried out on the data asset through federal learning and the blockchain;
step S206, after the double check passes, sharing the data asset among the participating nodes of the blockchain through the blockchain.
In an alternative embodiment, the data asset is transacted after being shared between participating nodes of the blockchain by the blockchain; after the transaction is completed, the data asset is delivered through the blockchain and federal learning, and further, an acquisition request for acquiring the data use authority of the target data asset initiated by a data requester is received through a target participating node; and granting the data use permission to the target participation node according to the acquisition request, so that the target participation node uses the target data asset by calling an API based on the data use permission.
Further, before granting the data use authority to the target participating node according to the acquisition request, verifying identity information of a data provider corresponding to the target data asset by the data requester through the intelligent contract; after passing the identity verification, verifying the validity of the target data asset according to asset information of the target data asset; after the validity verification is passed, determining a target virtual resource required for acquiring the target data asset according to the asset value of the target data asset; freezing the target virtual resource from the account of the data requester; and deducting the target virtual resource from the account of the data requester after granting the data use authority to the target participating node according to the acquisition request.
In another alternative embodiment, the data asset is registered by an addAsset function before the asset information of the data asset is journaled into the blockchain by the smart contract; the asset ID is generated by hashing the data asset, wherein the asset information includes metadata, a data description, and the asset ID.
The data element exchange platform based on the blockchain and the federal data realizes the data element exchange platform with double security guarantee by combining the characteristics of intelligent contract, evidence storage, tracing, implicit protection, evidence passing circulation and the like of the blockchain and the data motionless model moving characteristics of federal learning, and protects the navigation for the circulation of emerging data assets.
The data element trading platform in this embodiment mainly includes: the trading of data assets and the trading of securities certificates. The trading of data assets mainly includes sorting and stocking of data assets, asset verification, pricing, trading, and delivery. Wherein, the overhead of the data asset refers to the overhead of the asset ID; pricing of the data asset is with steady coins; the delivery of assets is in the form of data services under the framework of federal learning. The tracing and tracking of the data are realized by intelligent contract technology of a blockchain, information is recorded on the chain in the form of a log by defining intelligent contracts, and the information cannot be tampered once uploaded. The smart contract writes the log to the blockchain in the form of executing events and the client application can listen for these events. The smart contracts define and disclose the functions with which the client will interact, and by executing these functions to launch the corresponding event, the log is stored on the blockchain.
The transaction of data assets mainly includes:
step 1, classifying and putting data assets on shelves;
data assets are divided into three categories: source data, data model, and data products. The source data mainly refers to the processed data; the data model refers to a machine learning model, a deep learning model, a wind control model, a marketing model and the like which are popular at present. The data product is a model which is obtained by modeling based on data and can be used for prediction and evaluation, such as credit, sesame and the like. The DSP entering platform firstly carries out a series of KYC authentications, and after the authentication is passed, information such as metadata, data description, hash value of original data and the like of corresponding data assets are filled in according to the data asset on-shelf template. Such information may be subject to on-chain evidence.
A new data asset is registered through an addAsset function, and a corresponding assetIdentifier is generated through hashing the asset; the user can acquire detailed information of the asset through meta-information. The log information is uplinked by running the above functions to trigger the corresponding event registers (asset_id, metadata).
Step 2, checking data assets;
after the data asset is put on shelf, the intelligent contract firstly verifies whether the uploading user is effective according to the identity information of the uploading user. After verification is passed, the component is double checked through federal learning and blockchain, and first federal learning checks table information, such as table_info [1] of the Fate framework, through corresponding interfaces. Then the intelligent contract uses validAsset to carry out matching verification according to federal learning information and asset_id uploaded by the user to judge whether the uploaded data information is consistent with the uploading, and uses eventcheck_asset (asset_id) to link the verification result.
Step 3, pricing the data assets by using legal coin assets;
data price is often an important factor in the success or failure of a transaction, as well as a factor that is more difficult to determine in the marketplace. The goal of pricing is to promote sales and capture profits. This requires suppliers in the market body to consider both cost compensation and consumer acceptance of price. The pricing strategy adopts the following methods comprehensively:
cost pricing method: pricing is based on the production process or acquisition costs of the data elements.
Demand pricing method: demand side revenue pricing based on data elements
Market pricing method: and obtaining the market price of the similar data element assets, and taking a weighted average value for pricing.
Agreement pricing method: the price is agreed on the line of both supply and demand.
Platform fixed pricing method: the platform adopts unified pricing according to quality dimension, application dimension, etc.
And (3) a beat pricing method: the DSP may initiate a auction via the platform, with the highest bidder following multiple rounds of auctions.
Step 4, transaction of data assets;
the asset sales form includes the following three types:
the seller list is put on the order, and the DSP actively selects and sells various data element products on the platform list. The buyer can directly order or take the order after negotiating the price on the platform line.
The buyer can hang the order and the demander of the data element can choose to hang the order on the platform to issue own customized data demands.
Multiple rounds of bidding are also a form of seller list, but the buyer takes the highest price list option after multiple rounds of bidding. The auction herein is not limited to a specific auction format.
Step 5, delivery of the data asset;
the data asset delivery is a two-way delivery, i.e., DSP sellers deliver data assets, synchronously freeze, deliver buyer's credit assets. The intelligent contract then detects the identity information of the transactor based on the digital signature, and then detects the validity of the asset based on asset information recorded on the chain. The delivery patterns of the different data assets are also different; the delivery of the data products is mainly realized by calling an API interface through an input format required by a user and outputting a corresponding result. Typically, the delivery of source data is performed with models, and because the source data is traded in a data value model, the value of the data is represented by modeling, when a user selects one or more source data, the corresponding model is selected to model, and the delivery is performed in a form of initial training. The training process is realized based on the federal framework, and model training can be performed by utilizing the privacy protection technology under the condition that the data does not go out of the domain, so that the data safety is ensured, and the value of the data is acquired. In this mode, each data provider must also be a federal learning node, supporting training of sub-data. After the data training of each wheel is finished, an aggregator is selected from the nodes, the sub-models are integrated, the integrated results are distributed to each participating node again for the second training, iteration is continued, and modeling is completed.
The corresponding points assets are delivered by access times, and the intelligent contract example functions are as follows:
1, after the user orders and deals, freezing the user assets according to the unit price of the data element assets.
2, the user accesses the data element assets or delivers once, and the user integration assets are transferred according to the corresponding quantity.
The data element transaction platform based on blockchain and federal learning in the embodiment aims to promote effective circulation of data service under the condition of protecting data security, and realizes the maximum value of data through joint application of data among different enterprises. The exchange presented herein is the first platform to trade data elements with different data asset categories; the exchange platform carries out the transaction of the data in the form of service by combining the federal learning technology, and the delivery of the data asset is also carried out in the mode of service or model training, thereby protecting the safety of the data and realizing the value of the data. In addition, the transaction mode based on federal learning can support the modeling requirement of multi-party data on a large scale and high frequency data. In order to solve the tracking and tracing problems of data assets, transaction flows and modeling processes, the data element transaction platform fuses the intelligent contract technology of a blockchain and provides a series of tracing and tracing functions.
Example 2
According to another embodiment of the present invention, there is also provided a data sharing processing apparatus, and fig. 3 is a block diagram of the data sharing processing apparatus according to an embodiment of the present invention, as shown in fig. 3, including:
an uploading module 32, configured to upload asset information of a data asset into a blockchain in a log form through an intelligent contract, where the asset information carries identity information of a data asset provider;
a double verification module 34 for double verifying the data asset through federal learning and the blockchain if the identity verification is verified and the verification is passed;
a sharing module 36 for sharing the data asset between participating nodes of the blockchain through the blockchain after the double check passes.
Optionally, the uploading module 32 is further configured to trigger a corresponding registration event by running the function defined by the smart contract, so as to upload log information into the blockchain, where the log information carries asset information of the asset data.
Fig. 4 is a block diagram one of a data sharing processing apparatus according to an alternative embodiment of the present invention, as shown in fig. 4, the apparatus further includes:
a transaction module 42 for transacting the data asset;
a delivery module 44 for delivering the data asset through the blockchain and federal learning after the transaction is completed.
Optionally, the delivering module 44 includes:
the acquisition sub-module is used for receiving an acquisition request for acquiring the data use permission of the target data asset initiated by the data request party through the target participation node;
and the authorization sub-module is used for granting the data use authority to the target participation node according to the acquisition request so that the target participation node uses the target data asset by calling an API based on the data use authority.
Optionally, the apparatus further comprises:
the first verification sub-module is used for verifying the identity information of the data provider corresponding to the target data asset of the data requester through the intelligent contract before the data use permission is granted to the target participation node according to the acquisition request;
the second verification module is used for verifying the validity of the target data asset according to the asset information of the target data asset after the identity verification is passed;
the acquisition sub-module is used for determining target virtual resources required for acquiring the target data asset according to the asset value of the target data asset after the validity verification is passed;
a freezing sub-module for freezing the target virtual resource from the account of the data requester;
and the deduction submodule is used for deducting the target virtual resource from the account of the data requester after the data use permission is granted to the target participation node according to the acquisition request.
Optionally, the apparatus further comprises:
the registration module is used for registering the data asset through an addAsset function;
and the generation module is used for generating the asset ID through carrying out hash processing on the data asset, wherein the asset information comprises metadata, data description and the asset ID.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the uploading modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
Alternatively, in the present embodiment, the above-described storage medium may be configured to store a computer program for performing the steps of:
s1, uploading asset information of a data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
s2, under the condition that the identity verification is verified and the verification is passed, double verification is carried out on the data asset through federal learning and the blockchain;
and S3, after the double check passes, sharing the data asset among the participating nodes of the blockchain through the blockchain.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
Example 4
An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, uploading asset information of a data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
s2, under the condition that the identity verification is verified and the verification is passed, double verification is carried out on the data asset through federal learning and the blockchain;
and S3, after the double check passes, sharing the data asset among the participating nodes of the blockchain through the blockchain.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A data sharing processing method, characterized by comprising:
uploading asset information of the data asset to a blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
in the event that the identity verification is verified and verified is passed, double verifying the data asset by federal learning and the blockchain comprises: federal learning verifies the table information through the interface; the intelligent contract uses validAsset to carry out matching verification according to federal learning information and asset_id uploaded by a user to judge whether the uploaded data information is consistent with the uploading, and uses event_check_asset (asset_id) to link the verification result;
after the double check passes, sharing the data asset between participating nodes of the blockchain through the blockchain;
transacting the data asset, wherein the data asset comprises source data, a data model, and a data product;
after the transaction is completed, delivering the data asset through the blockchain and federal learning, comprising: receiving an acquisition request for acquiring the data use permission of the target data asset initiated by a data requester through a target participating node; and granting the data use permission to the target participation node according to the acquisition request, so that the target participation node uses the target data asset by calling an API based on the data use permission.
2. The method according to claim 1, wherein the method further comprises:
before granting the data use authority to the target participating node according to the acquisition request, verifying identity information of a data provider corresponding to the target data asset by the data requester through the intelligent contract;
after passing the identity verification, verifying the validity of the target data asset according to asset information of the target data asset;
after the validity verification is passed, determining a target virtual resource required for acquiring the target data asset according to the asset value of the target data asset;
freezing the target virtual resource from the account of the data requester;
and deducting the target virtual resource from the account of the data requester after granting the data use authority to the target participating node according to the acquisition request.
3. The method of any of claims 1-2, wherein uploading asset information of the data asset into the blockchain in the form of a log through the smart contract comprises:
triggering a corresponding registration event by running the function defined by the intelligent contract to upload log information into the blockchain, wherein the log information carries asset information of the asset data.
4. The method of claim 3, wherein prior to uploading asset information of the data asset into the blockchain in the form of a log by the smart contract, the method further comprises:
registering the data asset through an addAsset function;
the asset ID is generated by hashing the data asset, wherein the asset information includes metadata, a data description, and the asset ID.
5. A data sharing processing apparatus, comprising:
the uploading module is used for uploading asset information of the data asset to the blockchain in a log form through an intelligent contract, wherein the asset information carries identity information of a data asset provider;
the dual verification module is configured to perform dual verification on the data asset through federal learning and the blockchain under the condition that the identity verification is verified and the verification is passed, and includes: federal learning verifies the table information through the interface; the intelligent contract uses validAsset to carry out matching verification according to federal learning information and asset_id uploaded by a user to judge whether the uploaded data information is consistent with the uploading, and uses event_check_asset (asset_id) to link the verification result;
a sharing module for sharing the data asset between participating nodes of the blockchain through the blockchain after the double check passes;
a transaction module for transacting the data asset, wherein the data asset comprises source data, a data model, and a data product;
a delivery module for delivering the data asset through the blockchain and federal learning after the transaction is completed;
wherein, the delivery module includes:
the acquisition sub-module is used for receiving an acquisition request for acquiring the data use permission of the target data asset initiated by the data request party through the target participation node;
and the authorization sub-module is used for granting the data use authority to the target participation node according to the acquisition request so that the target participation node uses the target data asset by calling an API based on the data use authority.
6. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program is arranged to execute the method of any of the claims 1 to 4 when run.
7. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of any of the claims 1 to 4.
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