CN113127892A

CN113127892A - Data transaction method, device, system and storage medium

Info

Publication number: CN113127892A
Application number: CN201911421678.6A
Authority: CN
Inventors: 王蜀洪; 郑文丰; 王天雨
Original assignee: Huakong Tsingjiao Information Technology Beijing Co Ltd
Current assignee: Huakong Tsingjiao Information Technology Beijing Co Ltd
Priority date: 2019-12-31
Filing date: 2019-12-31
Publication date: 2021-07-16

Abstract

The invention discloses a data transaction method, a data transaction device and a storage medium. The data transaction method is applied to a data transaction platform and comprises the following steps: receiving a transaction request of a data user, wherein the transaction request comprises information of a target data set of transaction use rights; determining that a data consumer and a data provider of a target data set achieve a usage right transaction of the target data set; receiving a calculation task aiming at a target data set of a data user, wherein the calculation task comprises calculation logic; and sending the calculation task to a corresponding calculation node, and informing a data provider to send the ciphertext of the target data set to the calculation node, so that the calculation node performs multi-party safe calculation on the ciphertext of the target data set based on calculation logic, and obtaining the ciphertext of a calculation result and providing the ciphertext to a result acquisition party. Through the mode, the data security of the data provider in the data transaction process can be improved, and the popularization and implementation of data transaction are promoted.

Description

Data transaction method, device, system and storage medium

Technical Field

The present application relates to the field of data applications, and in particular, to a data transaction method, apparatus, system, and storage medium.

Background

In the existing data transaction process, transaction data are directly provided to a data demanding party. For safety, some sensitive data are encrypted for transmission in order to prevent information from leaking in the transmission process, but finally, a demand party obtains data in a clear text. This means that, regardless of the agreement between the supplier and the demander of the data, the end demander can get the data in complete plain text, i.e. get ownership of the data.

Because the existing data transaction mode can cause the diffusion of ownership of data, clear data is leaked to a demand party, the right of a data supplier is damaged, and the transaction intention of the data supplier is adversely affected, particularly under the condition that the transaction data is sensitive data, so that the implementation and popularization of data transaction are affected.

Disclosure of Invention

The application provides a data transaction method, a device, a system and a storage medium, which can solve the problem that the implementation and popularization of data transaction are influenced by a data transaction mode in the prior art.

In order to solve the technical problem, the application adopts a technical scheme that: a data transaction method is provided, the data transaction method is applied to a data transaction platform, and comprises the following steps: receiving a transaction request of a data user, wherein the transaction request comprises information of a target data set of transaction use rights; determining that a data consumer and a data provider of a target data set achieve a usage right transaction of the target data set; receiving a calculation task aiming at a target data set of a data user, wherein the calculation task comprises calculation logic; and sending the calculation task to a corresponding calculation node, and informing a data provider to send the ciphertext of the target data set to the calculation node, so that the calculation node performs multi-party safe calculation on the ciphertext of the target data set based on calculation logic, and obtaining the ciphertext of a calculation result and providing the ciphertext to a result acquisition party.

Wherein the receiving a transaction request of a data consumer further comprises: and receiving data set information of the data provider.

Wherein the receiving data set information of the data provider comprises: providing a data set information acquisition interface for the data provider; and acquiring the data set information uploaded by the data provider by using the data set information acquisition interface.

The data set information acquisition interface comprises at least one of a data set information uploading interface, a data set configuration interface and a data set pricing interface.

The data set configuration interface is used for editing description information of the data set, and the description information comprises at least one of fields, data types, data numbers and main purposes.

Wherein the data set provided by the data provider comprises the target data set, the determining that the data consumer and the data provider of the target data set complete the usage right transaction of the target data set further comprises: providing a first data transaction interface for the data provider; receiving transaction feedback information of the data provider, wherein the transaction feedback information is obtained by utilizing the operation of the first data transaction interface; determining, using the transaction feedback information, that the data consumer has reached a usage right transaction for the target data set with a data provider of the target data set.

Wherein, further include: providing a data set review interface for the data provider, the data set review interface for presenting at least one of a transaction record, a usage record, and an evaluation of a data set.

Wherein the receiving a transaction request of a data consumer further comprises: and providing a data set information display interface for the data user.

The data set information display interface is used for displaying visible data set information screened by using the authority of the data user.

Wherein, further comprising after providing the data set information display interface for the data user: receiving a screening request of the data user, wherein the screening request comprises a screening field and corresponding screening parameters; screening the data set information according to the screening request; and providing the screened data set information to the data user.

Wherein, further comprising after providing the data set information display interface for the data user: receiving an access request of the data user to the target data set in the data set information display interface; a second data trafficking interface for the target data set is provided for the data consumer.

Wherein the information displayed by the second data transaction interface includes rating information of the target data set.

Wherein the information displayed by the second data transaction interface includes sample data of the target data set.

Wherein the sample data of the target data set comprises at least one of: metadata, field format, sample value.

Wherein the receiving a transaction request of a data consumer further comprises: providing trial data of the target data set to the data consumer.

Wherein the determining that the data consumer has achieved the usage rights transaction for the target data set with the data provider for the target data set comprises: matching the transaction request with transaction conditions provided by the data user; and if the matching is successful, determining that the data user and the data provider of the target data set achieve the usage right transaction of the target data set.

Wherein the information of the target data set includes a usage for the target data set.

Wherein the use comprises: at least one of logic, usage, age, and number of times is calculated.

Before sending the computing task to the corresponding computing node, the method further includes: matching computational logic in the information of the target dataset with computational logic in the computational task; and if the matching is successful, sending the computing task to the corresponding computing node.

Wherein, the acquisition mode of the computing logic comprises at least one of the following modes: receiving the computational logic provided by a data consumer; receiving computational logic selected by the data consumer from computational logic provided by the data trafficking platform; receiving computational logic selected by the data consumer from computational logic provided by a third party; receiving computing logic selected by the data consumer from the computing logic provided by the data provider.

Wherein the receiving the computational logic provided by the data consumer comprises: providing an online programming interface for the data consumer; receiving code provided by the data consumer through the online programming interface; and processing the code to obtain the computing logic.

Wherein the receiving the computational logic provided by the data consumer comprises: providing a code uploading interface for the data user; receiving a code file provided by the data user through the code uploading interface; and processing the code file to obtain the computational logic.

Wherein the receiving the computational logic selected by the data consumer from the computational logic provided by the third party comprises: providing an interface for the data user to display the calculation logic options or calculation logic links provided by the third party; receiving, through the interface, the computational logic selected by the data consumer.

Wherein, the obtaining mode of the computing logic further comprises: receiving the computing logic after the data user further combines the computing logic selected by different ways; or receiving the calculation logic after the data user edits the parameters on the basis of the calculation logic selected by different ways and combines the parameters on the defined logic.

Before sending the computing task to the corresponding computing node, the method further includes: distributing computing nodes for the computing tasks; or acquiring the computing node specified by the data user from the computing task.

Before sending the computing task to the corresponding computing node, the method further includes: sending a newly added task request to a task scheduling management server, wherein the newly added task request is used for informing the task scheduling management server of scheduling the computing task; the sending the computing task to the corresponding computing node includes: and sending the computing task to a corresponding computing node through the task scheduling management server.

Wherein the result acquirer is the data consumer or a third party included in the computing task.

Wherein, further include: providing an evaluation interface for the data user; and receiving and recording the use evaluation of the data user.

Wherein, further include: providing a record of the execution of the computing task for the data consumer.

Wherein the method further comprises: carrying out identity and/or authority verification on the data user; confirming that the data consumer passes the verification.

Wherein the method further comprises: and storing the use right transaction of the target data set.

Wherein the method further comprises: and charging the usage right transaction of the target data set.

Wherein the method further comprises: an audit interface is provided for usage rights transactions of the target data set.

Wherein the method further comprises: a payment interface to provide a usage right transaction for the target data set.

In order to solve the above technical problem, another technical solution adopted by the present application is: a data transaction method is provided, which is applied to a data user and comprises the following steps: sending a transaction request to a data transaction platform, wherein the transaction request comprises information of a target data set of transaction use rights; based on the data transaction platform, achieving the usage right transaction of the target data set with the data provider of the target data set; and sending a calculation task aiming at the target data set to the data transaction platform, wherein the calculation task comprises calculation logic and is used for requesting multi-party safe calculation of the ciphertext of the target data set based on the calculation logic, and obtaining the ciphertext of the calculation result and providing the ciphertext to the result acquisition party.

Wherein the sending of the computing task for the target data set to the data trafficking platform comprises: displaying an online programming interface provided by the data transaction platform; submitting code through the online programming interface.

Wherein the sending of the computing task for the target data set to the data trafficking platform comprises: displaying a code uploading interface provided by the data transaction platform; and uploading the code file through the code uploading interface.

Wherein the sending of the computing task for the target data set to the data trafficking platform comprises: displaying an interface for displaying calculation logic options or calculation logic links provided by a third party and provided by the data transaction platform; submitting the selected computational logic through the interface.

Wherein the sending of the computing task for the target data set to the data trafficking platform comprises: further combining the computational logics selected by different ways and then sending the combined computational logics to the data transaction platform; or parameters are edited on the basis of computational logics selected by different ways, and the parameters are combined on the defined logics and then are sent to the data transaction platform.

Wherein sending the transaction request to the transaction platform further comprises: and carrying out trial by using the trial data of the target data set.

The computing task comprises a result acquirer and/or a computing node of the computing task.

Wherein, further include: the calculation result is received as a result acquirer.

In order to solve the above technical problem, another technical solution adopted by the present application is: a data transaction method is provided, which is applied to a data provider and comprises the following steps: uploading information of the target data set to a data transaction platform; based on the data transaction platform, achieving the use right transaction of the target data set with the data user; and sending the ciphertext of the target data set to a computing node indicated by the data transaction platform, so that the computing node performs multi-party safe computation on the ciphertext of the target data set based on computation logic provided by the data user, and obtaining the ciphertext of a computation result and providing the ciphertext of the computation result to the result obtaining party.

In order to solve the above technical problem, another technical solution adopted by the present application is: provided is a data transaction method, including: the data provider uploads the information of the target data set to the data transaction platform; based on the data transaction platform, the data provider and the data user complete the usage right transaction of the target data set; the data use direction sends a calculation task aiming at the target data set to the data transaction platform, and the calculation task comprises calculation logic; the data transaction platform sends the calculation tasks to the corresponding calculation nodes, and informs a data provider to send the ciphertext of the target data set to the calculation nodes; the data provider sends the ciphertext of the target data set to the computing node; and the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computation logic to obtain the ciphertext of the computation result and provides the ciphertext to the result acquiring party.

In order to solve the above technical problem, another technical solution adopted by the present application is: a data transaction device is provided, which comprises a processor for executing instructions to implement the aforementioned data transaction method.

In order to solve the above technical problem, another technical solution adopted by the present application is: providing a data transaction system, wherein the data transaction system comprises a data transaction platform, a data provider, a data user and a result acquirer; the data provider is used for uploading information of the target data set to the data transaction platform; based on the data transaction platform, the data provider and the data user are used for achieving the usage right transaction of the target data set; the data user side is used for sending a calculation task aiming at the target data set to the data transaction platform, and the calculation task comprises calculation logic; the data transaction platform is used for sending the computing task to the corresponding computing node and informing the data provider to send the ciphertext of the target data set to the computing node; the data provider is used for sending the ciphertext of the target data set to the computing node; the computing node is used for performing multi-party safe computation on the ciphertext of the target data set based on the computation logic, and obtaining the ciphertext of a computation result and providing the ciphertext to the result obtaining party.

In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a storage medium storing instructions that, when executed, implement the aforementioned data transaction method.

The beneficial effect of this application is: based on the trading platform, the data provider and the data user complete the use right trading of the target data set, and after the use right of the target data is obtained, the data user can perform multi-party safety calculation by using the ciphertext of the target data set based on the trading platform and provide the calculation result to the result acquirer. In the calculation process, the target data sets are all in an encrypted state, and other subjects except the data provider do not obtain the target data sets in a clear text, so that the data safety of the data provider in the data transaction process is effectively improved, and the popularization and implementation of data transaction are promoted.

Drawings

FIG. 1 is a schematic flow chart diagram illustrating a data transaction method according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart diagram illustrating a data transaction method according to another embodiment of the present invention;

FIG. 3 is a schematic flow chart diagram illustrating a data transaction method according to yet another embodiment of the present invention;

FIG. 4 is a schematic flow chart diagram illustrating a data transaction method according to another embodiment of the present invention;

FIG. 5 is a block diagram of an embodiment of a data transaction system according to the present invention;

FIG. 6 is a schematic flow chart diagram illustrating a data transaction method according to another embodiment of the present invention;

FIG. 7 is a schematic diagram of another embodiment of a data transaction system according to the present invention;

FIG. 8 is a schematic flow chart diagram illustrating a data transaction method according to another embodiment of the present invention;

FIG. 9 is a schematic diagram of an embodiment of a data transaction apparatus;

FIG. 10 is a schematic structural diagram of an embodiment of a storage medium according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any indication of the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.

Fig. 1 is a schematic flow chart of an embodiment of a data transaction method according to the present invention, which is applied to a data transaction platform. It should be noted that, if the result is substantially the same, the flow sequence shown in fig. 1 is not limited in this embodiment. As shown in fig. 1, the present embodiment includes:

s11: a transaction request of a data consumer is received.

Each participating body of the transaction method in the present application, for example, a data transaction platform, a data user, a data provider, a task scheduling management server, a result acquirer, a computing node, etc., may be an independent device (for example, a mobile phone, a computer, a server, etc.), an independent program running on the device, a process or a thread of a certain program running on the device, etc., and is not limited herein. Different participating agents may operate on the same device or may operate independently.

The execution main body of the embodiment is a data transaction platform, and the data transaction platform is responsible for interacting with a data user and a data provider and providing opportunities and ways for data transaction for both parties. The data provider, i.e. the seller in the data transaction, may also be referred to as the data provider. The data user, i.e. the buyer in the data transaction, and the result obtaining party are the party in the data transaction for obtaining the final result of the calculation task, which may be the data user, or may be another third party, or may be called as the data demanding party.

Before data transaction, the data transaction platform can verify the identity and/or authority of a data user and/or a data provider and confirm the verification result. The authenticated data consumer and/or data provider is confirmed to be available for subsequent transactions. Some or all of the participating entities may be credited during the transaction and/or may be billed for the associated fee, for which an audit interface and/or payment interface for the right to use transaction of the target data set may be provided.

The data provider may upload information of the data set for sale to the data trading platform. The data transaction platform provides a data set information acquisition interface for the data provider. Specifically, the data provider may send a request for accessing the data set information acquisition interface to the data transaction platform, and then the data transaction platform sends an instruction to the data provider in response to the request to provide the data set information acquisition interface. The data set information acquisition interface comprises at least one of a data set information uploading interface, a data set configuration interface and a data set pricing interface.

And then the data transaction platform acquires the data set information uploaded by the data provider by using the data set information acquisition interface. The data set information acquisition interface can be operated (including but not limited to at least one of clicking, dragging and dropping, keyboard input, uploading files and the like) by a user of the data provider, and the data provider can acquire and send data set information to be uploaded to the data transaction platform by using the operations.

The data set information uploading interface can display the data sets uploaded by the data provider and the new data set uploading mode, such as buttons and the like. The data set configuration interface is used for editing description information of the data set, and specifically may include at least one of metadata, field format, data type, number of data pieces, and main purpose. Examples of primary uses include, but are not limited to: joint query, joint modeling, model prediction, and the like; the visibility range of the data set is configured, and the visibility range includes several ways that all people can see, login users can see, and a designated group (with some identity mark, such as a group employee) can see. And the data provider configures basic information of the data set and the visibility range of the data set through the interface. The data set offer interface may display suggested prices given by the data trading platform based on the data set base attributes, which the data provider user may modify and confirm.

In a data set information uploading interface, a user newly uploads data set information, and an entry of a data set can be newly established under an account of a data provider on a data transaction platform in the background, wherein the entry records information of the database, but does not upload the data set in real time, but notifies the data provider to send a ciphertext of the data set when the data set needs to be calculated in the subsequent process. In other embodiments, the data provider may choose to upload the ciphertext of the database to a storage address provided by the data transaction platform that supports encrypted storage, either simultaneously with or after uploading the dataset information. The user may supplement and modify the information of the database in the data set configuration interface and/or the data set quotation interface.

In this embodiment and other embodiments, there may be multiple data transaction platforms providing an interface for the data provider/data consumer, or the data provider/data consumer accessing an interface provided by the data transaction platform. The interface can be a browser page, a program operation interface on a computer, an APP interface of a mobile device (such as a mobile phone) and the like.

The specific process of the data transaction platform providing some interface for the data provider/data user may include: the data transaction platform receives a request from a data provider/data consumer to access an interface and then sends instructions to the data provider/data consumer to provide the interface in response to the request. The instructions may include a complete interface or partial information in an interface or for instructing the data supplier to display a local interface. Standing at the angle of a data provider/data user, the process of accessing a certain interface provided by a data transaction platform comprises the following steps: and sending a request for accessing a certain interface to the data trading platform, receiving an instruction returned by the data trading platform, and responding to the instruction to display the interface. An interface is a human-machine interactive tool after which a user of a data provider/data consumer can browse and manipulate the interface. A user of a data provider/data consumer refers to a user who uses the data provider/data consumer as a device or a device running the data provider/data consumer, and may also be referred to as a user of the data provider/data consumer, and of course, in some scenarios, the data exchange platform may periodically or aperiodically push updated information, such as new data set information, new ratings, and the like, to the data provider/data consumer, and the data exchange platform may store these updates so that some data of the data provider/data consumer remains synchronized with the data exchange platform. If the data provider/data user receives the request of the user to access a certain interface and the data provider/data user can obtain all the information of the interface locally, the data provider/data user can directly read the locally stored related information and display the related information in the interface without interacting with the data transaction platform. Similar subsequent interaction processes with respect to the interface are not described in detail.

The data transaction platform can provide a data set information display interface for a data user. The data set information display interface is used for displaying data set information uploaded by at least one data provider. The data set information presentation interface may include a main interface for presenting basic information of a plurality of data sets, such as name, type, upload time, data provider information (if the data provider is allowed to be disclosed), and a sub-interface for presenting more detailed information of one data set, such as price, transaction condition, evaluation information, sample data, and the like.

If the data set information includes the field of the authority, the data transaction platform can use the authority of the data user to filter the data set information. The data set information display interface is used for displaying information of the screened visible data set, and the visible data set refers to a data set which a data user has permission to view.

Optionally, the data trafficking platform may provide a screening function in order to facilitate the data user to quickly find the desired data set. The data transaction platform receives a screening request of a data user, wherein the screening request comprises screening fields and corresponding screening parameters. The fields screened may include dataset base information as well as upload time, data provider information, and the like. And the data transaction platform screens the data set information according to the screening request and provides the screened data set information to the data user.

The data set information display interface is provided with a purchase interaction part, such as a link, a button and the like, and if a user of a data user operates the purchase interaction part of a certain data set in the data set information display interface, such as clicking the link or the button and the like, the data user sends an access request to the data set (namely, a target data set of the transaction) to the data transaction platform. The data transaction platform provides a second data transaction interface of the target data set for the data user. The second data transaction interface may be used to configure the use of the data set, the use including: and calculating at least one of the parameters of logic, dosage, service life, use times and the like. The data trading platform may display the total quote for the data consumer according to the parameters selected by the data consumer's user and the quote rules set by the data provider. The information presented by the second data transaction interface may further include rating information and/or sample data for the target data set. The evaluation information is an evaluation given by a past user of the target data set. Sample data of the target data set includes at least one of: metadata, field format, sample values so that the data consumer knows how to use the target data set.

The second data transaction interface may be provided with an interaction part for confirming purchase, such as a link, a button, and the like, and if a user of the data user operates the interaction part for confirming purchase in the second data transaction interface, such as clicking the link, the button, and the like, the data user sends a transaction request to the data transaction platform. The transaction request includes information of the target data set of the transaction usage rights. The information of the target data set may include basic information of the target data set, such as a name, a provider. In addition, the information of the target data set may further include transaction parameters confirmed by the user of the data user in the second data transaction interface, i.e., the usage of the target data set.

Optionally, the data transaction platform provides trial data of the target data set for the data user. The trial data is identical to the fields of the target data set. The trial data can be a small part which can be disclosed in a target data set given by a data provider, or the data provider/data transaction platform generates the trial data according to the field information of the target data set. The data user may try out trial data of the target data set. Specifically, the data user may call trial data from the data transaction platform, try to perform calculation using an arithmetic logic to be applied to the target data set, and determine whether the data transaction platform can meet the user requirements of the data user, for example, whether the calculation result is accurate or not, whether the calculation speed is fast or not, and the like, according to the known trial data and the obtained calculation result.

S12: determining that the data consumer and the data provider of the target data set achieve the usage right transaction of the target data set.

The transaction request may be confirmed, for example, by: one that does not require human involvement and may also be referred to as an entrusted transaction and the other that requires human confirmation.

If entrusted transaction is adopted, the data transaction platform can match the transaction request with the transaction conditions by itself after receiving the transaction request, if the matching is successful, the transaction request is accepted, otherwise, the transaction request is not accepted; or the transaction request is sent to the data provider, and the data provider confirms whether to accept the transaction request and then returns a confirmation result to the data transaction platform. The transaction condition is provided to the data transaction platform by the data provider in advance and can be included in the information of the data set. Information such as data sets may define ranges of transaction parameters (e.g., usage, quotes, purchaser identity) that may be accepted by the data provider, and the collection of these ranges of transaction parameters may be referred to as transaction conditions.

If a manual confirmation mode is adopted, the data transaction platform provides a first data transaction interface for the data provider. The first data transaction interface is provided with an interactive part for confirming the transaction and rejecting the transaction, such as a link, a button and the like. The data provider can obtain a corresponding transaction feedback message and send the transaction feedback message to the data transaction platform according to the operation of the user on the first data transaction interface, such as clicking a confirm transaction button/reject transaction button. And the data transaction platform receives the transaction feedback information of the data provider and then determines whether the transaction request is accepted or not by using the transaction feedback information.

The data trading platform then notifies the data consumer to complete a usage right trade with the data provider for the target data set. The usage right transaction can be directly completed between the data user and the data provider, and can also be based on a data transaction platform or other platforms.

S13: a computing task for a target data set by a data consumer is received.

And the data user confirms that the use right transaction of the target data set is achieved, and after the use right of the target data set is successfully acquired, the target data set can be used for calculation. The calculation task includes information of the target data set and calculation logic, and the calculation logic in the calculation task may refer to complete calculation logic or an acquisition mode of the calculation logic. Computational logic refers to how the target data set is used for computation, e.g., querying, statistics, training models, etc. The manner in which the data trafficking platform obtains the computational logic includes, but is not limited to, at least one of:

1) receiving complete computation logic provided by a data user;

one specific way is that the data transaction platform provides an online programming function for a data user. Specifically, the data transaction platform provides an online programming interface for a data user. And the user of the data user inputs the code on the online programming interface, and the data user acquires the input code and then sends the code to the data transaction platform. And the data transaction platform receives the codes acquired by the data user on the online programming interface, and then processes the codes to obtain the computational logic.

Another specific way is that the data consumer packages the upload code file. Specifically, the data transaction platform provides a code uploading interface for the data user. And selecting the code file and uploading the code file on the code uploading interface by the user of the data user. And the data transaction platform receives the code file of the data user and then processes the code file to obtain the computational logic.

The data trafficking platform may select computational logic from a computational logic provider as follows:

2) and receiving an acquisition mode of the computational logic provided by the data user.

In this manner, the data consumer no longer provides complete computational logic, but rather an acquisition of computational logic. The complete computational logic may come from other participating principals than the data consumer.

Specifically, the data transaction platform may provide an interface for a data consumer to display the computation logic options or the computation logic links, and the source of the computation logic in the interface may include at least one of the data transaction platform, a data provider, and a third party (which may be referred to as a computation logic provider). The user of the data user browses the interface and makes a selection in the interface, and the data user determines the selected computational logic according to the operation of the user on the interface. And the data transaction platform receives the selected calculation logic information through the interface. The acquisition mode of the computation logic comprises the selected computation logic information.

Optionally, a user of the data user may select multiple computing logics (the computing logics may be from the same source or different sources), and submit the selected computing logics after further processing. In this case, the acquisition method of the computation logic includes a processing method for the computation logic in addition to the selected computation logic information. The processing means may include at least one of combination, editing parameter, logical combination, and the like. Logical combination may refer to a combination of different computational logics using a defined logical operation, such as and, or, not, etc., and may also be referred to as a defined logical combination.

The invention provides the function of customizing the computational logic according to the requirement, and the data provider or the entrustment platform approves the computational logic. The data transaction scheme can effectively ensure the privacy of the data providers, so that a data user can simultaneously select the target data sets of a plurality of data providers in one transaction process, and deep fusion operation is performed by the customized calculation logic, thereby effectively solving the problem of data island and deeply mining more values of data of each party. Therefore, the invention can protect the data privacy, and simultaneously, the data gold mine is excavated and deeply processed to hands of more participants, and is not limited to the data provider, so that a better data value development ecological chain is formed.

Optionally, the information of the target data set includes a purpose (including a computation logic), and the data transaction platform may match the computation logic with the computation logic in the information of the target data set after receiving a computation task of the data user; and if the matching is successful, namely the target data set is allowed to be calculated by using the calculation logic, the data transaction platform schedules the calculation task, otherwise, the calculation task is not scheduled.

Optionally, the computing task further includes information of a computing node that executes the computing task and/or a result acquirer that obtains an execution result of the computing task. If the result obtainer is the data consumer, the result obtainer may not be included in the calculation task.

S14: and sending the calculation task to a corresponding calculation node, and informing a data provider to send the ciphertext of the target data set to the calculation node, so that the calculation node performs multi-party safe calculation on the ciphertext of the target data set based on calculation logic, and obtaining the ciphertext of a calculation result and providing the ciphertext to a result acquisition party.

The data transaction platform can schedule the calculation tasks by itself and send the calculation tasks to a plurality of corresponding calculation nodes. In addition to the computing task, the data trafficking platform may also notify the data provider to send ciphertext of the target data set to the computing node. Or, in an alternative scheme, if the data provider has stored the data ciphertext in the address specified by the transaction platform, the server corresponding to the address needs to be notified to send the ciphertext of the target data set to the computing node in this step, so that the computing node performs multiparty secure computation on the ciphertext of the target data set by using a multiparty secure computation protocol based on computation logic. For example, in the case that the target data set is held only by the data provider, in the scheduling process, the data transaction platform may send a request for obtaining the target data set to the data provider, where the request includes information of the computing nodes, and the data provider processes the target data set by using a multi-party security protocol (e.g., a random partitioning protocol) in response to the request to obtain ciphertext of the target data set, and then sends the ciphertext of the target data set to the multiple computing nodes. In addition, the data transaction platform may send information of the data provider to the computing node for the computing node to verify and/or request the data provider to send the ciphertext of the target data set.

The computing nodes may be distributed by the data trafficking platform or designated by the data consumer, and if the computing nodes are designated by the data consumer, the computing nodes are included in the computing task, i.e., the computing task includes information of the computing nodes.

Because the ciphertext of the target data set is processed by a group of computing nodes through the multi-party security protocol, part or all of the computing nodes output the ciphertext of a computing result. For privacy reasons, the computing node does not get the final result, i.e., the result of the execution of the computing task required by the result obtainer. The designated security device can be used for summarizing the ciphertext of the final result desired by the result acquirer by using the multi-party security protocol based on the ciphertext of the calculation result output by the calculation node and providing the ciphertext of the final result desired by the result acquirer. For example, some of the computing nodes may provide the output computation results to the task scheduling management server, and the computation results are aggregated by the task scheduling management server and provided to the result acquirer. The task scheduling management server can belong to the data transaction platform or be independent of the data transaction platform. Or the computing node can provide the ciphertext of the computing result to the result acquiring party by itself, and the result acquiring party aggregates the ciphertext.

Responsible for scheduling the computing tasks may be a task scheduling management server. Optionally, the task scheduling management server may be independent of the data transaction platform, and at this time, after receiving the calculation request, the data transaction platform may send a newly added task request to the task scheduling management server, where the newly added task request is used to notify the task scheduling management server of scheduling the calculation task.

In the execution process of the calculation task, the data user can check the execution state of the task in real time.

The result acquirer is the data consumer, or a third party included in the calculation task, i.e., another party different from the data consumer, specified in the calculation task by the data consumer.

Optionally, after the calculation task is completed, the data transaction platform may provide an evaluation interface for the data user, and receive and record the use evaluation of the data user. The data trafficking platform may also store and provide records of execution of computing tasks to data consumers.

Optionally, the data transaction platform may provide a data set review interface for the data provider, where the data set review interface is used to display at least one of transaction records, usage records, and evaluations of the data set.

Optionally, the data transaction platform may provide an audit interface and/or a payment interface for the data transaction process.

Through the implementation of the embodiment, on the basis of the data transaction platform, the right-of-use transaction of the target data set is completed between the data provider and the data user, and the data user can perform multi-party secure computation by using the ciphertext of the target data set on the basis of the data transaction platform and provide the ciphertext of the computation result to the result acquirer. In the calculation process, the target data sets are all in an encrypted state, and other subjects except the data provider do not obtain the target data sets in a clear text, so that the data safety of the data provider in the data transaction process is effectively improved, and the popularization and implementation of data transaction are promoted.

Fig. 2 is a schematic flow chart of another embodiment of the data transaction method of the present invention, which is applied to a data user. It should be noted that, if the result is substantially the same, the flow sequence shown in fig. 2 is not limited in this embodiment. As shown in fig. 2, the present embodiment includes:

s21: and sending a transaction request to the data transaction platform.

Before that, the data user can browse the data set information display interface provided by the data transaction platform, and perform operations such as screening, searching and purchasing the data set. The transaction request includes information of the target data set of the transaction usage rights. The information of the target data set may include basic information of the target data set, such as a name, a provider, and may further include a purpose of the target data set. The data transaction platform can use the trial data for trial. The same or similar contents in this embodiment as those in the previous embodiment can be referred to the description of the previous embodiment.

S22: and based on the data transaction platform, achieving the usage right transaction of the target data set with the data provider of the target data set.

And after the data provider is determined to accept the transaction request, the data provider can carry out transaction. The specific transaction can be directly completed between a data user and a data provider, and can also be based on a data transaction platform or other platforms.

S23: and sending the calculation task aiming at the target data set to the data trading platform.

After the usage right transaction of the target data set is completed, the data user obtains the usage right of the target data set, that is, the data user can use the target data set for calculation. The calculation task is used for requesting to perform multi-party safe calculation on the ciphertext of the target data set based on the calculation task, and the ciphertext of the calculation result is obtained and provided to the result obtaining party. The calculation task includes information of the target data set and a calculation logic or an acquisition mode of the calculation logic, and specific contents refer to the foregoing embodiments and are not described herein again.

The data consumer may view the execution status of the computing task. If the result acquiring party is the data using party, after the calculation task is completed, the data using party as the result acquiring party receives the ciphertext of the calculation result and then automatically gathers the ciphertext to obtain a final result, or receives the ciphertext of the final result.

Optionally, the data user may access an evaluation interface provided by the data transaction platform, obtain the usage evaluation input by the user of the data user, and then send the usage evaluation to the data transaction platform. The data consumer may access a record of the performance of the computing task provided by the data trafficking platform.

Fig. 3 is a schematic flow chart of a data transaction method according to another embodiment of the present invention, which is applied to a data provider. It should be noted that, if the result is substantially the same, the flow sequence shown in fig. 3 is not limited in this embodiment. As shown in fig. 3, the present embodiment includes:

s31: and uploading the information of the target data set to the data transaction platform.

The same or similar contents in this embodiment as those in the previous embodiment can be referred to the description of the previous embodiment.

And the data provider accesses the data transaction platform to provide a data set information acquisition interface to upload the information of the data set to be sold. The data set information acquisition interface comprises at least one of a data set information uploading interface, a data set configuration interface and a data set pricing interface. The data set information acquisition interface can be operated (including but not limited to at least one of clicking, dragging and dropping, keyboard input, uploading files and the like) by a user of the data provider, and the data provider can acquire the data set information to be uploaded by the operation.

The data set information uploading interface can display the data sets uploaded by the data provider and the new data set uploading mode, such as buttons and the like. The dataset configuration interface is for editing at least one of a field, a data type, a number of data pieces, and a primary use of the dataset. The main applications generally comprise joint query, joint modeling, model prediction and the like; the visibility range of the data set is configured, and the visibility range includes several ways that all people can see, login users can see, and a designated group (with some identity mark, such as a group employee) can see. And the data provider configures basic information of the data set and the visibility range of the data set through the interface. The data set offer interface may display suggested prices given by the data trading platform based on the data set base attributes, which the data provider user may modify and confirm.

On a data set information uploading interface, the operation of newly uploading a data set by a user can be realized in two ways at the background, one way is that a data provider encrypts a database selected by the user and uploads the encrypted database to a specified storage address, and the storage address can be provided by a data transaction platform and has the function of encryption and storage; and the other method is that an entry of a data set is newly established under an account of a data provider on the data transaction platform, the entry records the information of the database, but the data set is not uploaded in real time, and when the data set needs to be calculated subsequently, the data provider receives a request of the data transaction platform for acquiring the target data set and then responds to the request to send the encrypted target data set to the data transaction platform. The user may supplement and modify the information of the database in the data set configuration interface and/or the data set quotation interface.

S32: and achieving the use right transaction of the target data set with the data user based on the data transaction platform.

After confirming that the transaction request initiated by the data user is accepted, the data provider and the data user complete the usage right transaction of the target data set.

S33: and sending the ciphertext of the target data set to a computing node indicated by the data transaction platform, so that the computing node performs multi-party safe computation on the ciphertext of the target data set based on computation logic provided by the data user, and obtaining the ciphertext of a computation result and providing the ciphertext of the computation result to the result obtaining party.

Fig. 4 is a schematic flow chart of a data transaction method according to another embodiment of the present invention, which is applied to a data transaction system. It should be noted that, if the result is substantially the same, the flow sequence shown in fig. 4 is not limited in this embodiment. As shown in fig. 4, the present embodiment includes:

s41: the data provider uploads information of the target data set to the data trading platform.

S42: based on the data transaction platform, the data provider and the data user complete the usage right transaction of the target data set.

S43: the data consumer sends a computing task for the target data set to the data trafficking platform.

The computing task comprises computing logic.

S44: and the data transaction platform sends the calculation task to the corresponding calculation node, and informs the data provider to send the ciphertext of the target data set to the calculation node.

S45: and the data provider sends the ciphertext of the target data set to the computing node.

S46: and the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computation logic to obtain the ciphertext of the computation result and provides the ciphertext to the result acquiring party.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a data transaction system according to an embodiment of the present invention. As shown in fig. 5, the data trading system 50 includes a data trading platform 51, a data provider 52, a data consumer 53, a result acquirer 54, and a computing node 55; the data provider 52 is used for uploading information of the target data set to the data transaction platform 51; based on the data transaction platform 51, the data provider 52 and the data consumer 53 are used to achieve a usage right transaction of the target data set; the data user 53 is used for sending a calculation task aiming at the target data set to the data trading platform 51, and the calculation task comprises calculation logic; the data transaction platform 51 is configured to send a computing task to the corresponding computing node 55, and notify the data provider 52 to send a ciphertext of the target data set to the computing node 55; the data provider 52 is configured to send the ciphertext of the target data set to the computing node 55; the computing node 55 is configured to perform multi-party secure computation on the ciphertext of the target data set based on the computing logic, obtain a ciphertext of a computation result, and provide the ciphertext to the result obtaining party 54.

The following is an example of a complete one-time data transaction process based on the data transaction system shown in fig. 5, and in conjunction with the accompanying drawings, the same parts as those in the previous embodiments are not repeated.

As shown in fig. 6, another embodiment of the data transaction method of the present invention includes:

s601: and the data provider sends a request for accessing the data set information acquisition interface to the data transaction platform.

S602: the data transaction platform provides a data set information acquisition interface for the data provider.

S603: and the data transaction platform acquires the data set information uploaded by the data provider by using the data set information acquisition interface.

The uploaded data set information comprises information of the target data set.

S604: the data transaction platform provides a data set information display interface for a data user.

S605: the data transaction platform receives a screening request of a data user.

The screening request includes a screening field and corresponding screening parameters.

S606: and the data transaction platform screens the data set information according to the screening request.

S607: and the data transaction platform provides the screened data set information to a data user.

S608: and the data transaction platform receives an access request of a data user to a target data set in the data set information display interface.

S609: the data transaction platform verifies the identity and/or authority of the data user.

The subsequent steps can be executed after the verification is passed. The verification process may be more than once during the transaction, and may verify the data provider in addition to the data consumer. The locations where this step occurs are merely illustrative.

S610: the data transaction platform provides a second data transaction interface of the target data set for the data user.

S611: the data transaction platform receives a transaction request of a data user.

S612: the data transaction platform provides a first data transaction interface for a data provider.

S613: and the data provider obtains the transaction feedback information according to the operation of the user on the first data transaction interface.

S614: and the data provider sends transaction feedback information to the data transaction platform.

S615: the data transaction platform uses the transaction feedback information to determine whether the transaction request is accepted.

S616: and after the transaction request is determined to be accepted, the data transaction platform informs the data user and the data provider to achieve the right-of-use transaction of the target data set.

S617: the data consumer and the data provider complete a usage right transaction of the target data set.

S618: the data transaction platform provides an online programming interface for a data user.

S619: the data transaction platform receives codes acquired by a data user on an online programming interface.

S620: and the data transaction platform processes the codes to obtain the computational logic.

S621: and the data transaction platform sends the computing task to the corresponding computing node.

The computational tasks include computational logic. For convenience of description, only one computing node is drawn in the figure, and the number of actual computing nodes is larger.

S622: the data transaction platform sends a request for obtaining the target data set to the data provider.

The request includes information for the compute node.

S623: and the data provider processes the target data set by utilizing a multi-party security protocol (such as a random partitioning protocol) to obtain the ciphertext of the target data set.

S624: the data provider sends the ciphertext of the target data set to the plurality of computing nodes.

S625: and the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computation logic to obtain the ciphertext of a computation result.

S626: and the computing node provides the ciphertext of the computing result to the result acquiring party.

S627: and the result acquiring party collects the ciphertext of the calculation result to obtain a final result.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a data transaction system according to another embodiment of the present invention. As shown in fig. 7, the data trading system 70 includes a data trading platform 71, a data provider 72, a data consumer 73, a computation logic provider 74, a task scheduling management server 75, and a computation node 76; the data provider 72 is used for uploading information of the target data set to the data transaction platform 71; based on the data transaction platform 71, the data provider 72 and the data consumer 73 are used to achieve a usage right transaction of the target data set; the data user 73 is used for sending a calculation task aiming at the target data set to the data transaction platform 71, wherein the calculation task comprises an acquisition mode of calculation logic; the calculation logic provider 74 is used for providing corresponding calculation logic for the data transaction platform 71; the data transaction platform 71 is configured to send a new task request to the task scheduling management server 75, where the new task request is used to notify the task scheduling management server 75 to schedule a computing task; the data transaction platform 71 is used for sending the computing task to the corresponding computing node 76 through the task scheduling management server 75, and informing the data provider 72 of sending the ciphertext of the target data set to the computing node 76; the data provider 72 is configured to send the ciphertext of the target data set to the compute node 76; the computing node 76 is configured to perform multi-party secure computation on the ciphertext of the target data set based on the computation logic, and send the ciphertext of the computation result to the result acquirer task scheduling management server 75; the task scheduling management server 75 is configured to aggregate the ciphertext of the calculation result to obtain a final ciphertext, and provide the final ciphertext to the data user 73. The data consumer 73 in this embodiment serves as a result acquirer.

The following is an example of a complete one-time data transaction process based on the data transaction system shown in fig. 7, and in conjunction with the accompanying drawings, the same parts as those in the previous embodiments are not repeated.

As shown in fig. 8, another embodiment of the data transaction part of the present invention comprises:

s801: and the data provider sends a request for accessing the data set information acquisition interface to the data transaction platform.

S802: the data transaction platform provides a data set information acquisition interface for the data provider.

S803: and the data transaction platform acquires the data set information uploaded by the data provider by using the data set information acquisition interface.

The uploaded data set information comprises information of the target data set.

S804: the data transaction platform verifies the identity and/or authority of the data user.

The subsequent steps can only be performed after verification is passed.

S805: the data transaction platform provides a data set information display interface for a data user.

The data sets in the data set information display interface are data sets which are authorized to be viewed by a data user, and the data sets comprise target data sets.

S806: the data transaction platform provides trial data of the target data set for the data user.

S807: and the data user tests the data transaction platform by using the trial data.

S808: and the data transaction platform receives an access request of a data user to a target data set in the data set information display interface.

S809: the data transaction platform provides a second data transaction interface of the target data set for the data user.

S810: the data transaction platform receives a transaction request of a data user.

S811: the data transaction platform matches the transaction request with transaction conditions provided by the data user.

And executing the subsequent steps after the matching is successful.

S812: the data transaction platform informs the data user and the data provider to achieve the usage right transaction of the target data set.

S813: and the data user and the data provider complete the usage right transaction of the target data set.

S814: and the data transaction platform charges the use right transaction of the target data set.

The order of execution of this step and other steps is merely illustrative.

S815: and the data transaction platform stores the use right transaction of the target data set.

The order of execution of this step and other steps is merely illustrative.

S816: the data transaction platform obtains the computational logic from a computational logic provider.

S817: the data transaction platform provides an interface for data users to display computational logic options.

S818: the data transaction platform receives a computing task of a data user.

The calculation task comprises an acquisition mode of calculation logic, and the acquisition mode of the calculation logic comprises calculation logic information selected by the data user on the display interface. .

The data transaction platform can determine the computational logic according to the acquisition mode of the computational logic and match the information of the target data set with the computational logic. And executing the subsequent steps after the matching is successful. In other embodiments, the matching may be performed by the task schedule management server.

S819: and the data transaction platform sends a new task request to the task scheduling management server.

S820: and the data transaction platform sends the calculation task to the task scheduling management server.

S821: and the task scheduling management server sends the computing tasks to the computing nodes.

S822: and the task scheduling management server sends a request for acquiring the target data set to the data provider.

The request includes information for the compute node.

S823: and the data provider processes the target data set by utilizing a multi-party security protocol (such as a random partitioning protocol) to obtain the ciphertext of the target data set.

S824: the data provider sends the ciphertext of the target data set to the plurality of computing nodes.

S825: and the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computation logic to obtain the ciphertext of the computation result.

S826: and the task scheduling management server receives the ciphertext of the calculation result output by the calculation node.

S827: and the task scheduling management server integrates the ciphertext of the calculation result into the ciphertext of a final result.

S828: and the task scheduling management server sends the ciphertext of the final result to the data user.

Referring to fig. 9, fig. 9 is a schematic structural diagram of a data transaction apparatus according to an embodiment of the present invention. As shown in fig. 9, the data trafficking device 90 includes a processor 91.

The processor 91 may also be referred to as a CPU (Central Processing Unit). The processor 91 may be an integrated circuit chip having signal processing capabilities. The processor 91 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The data trafficking device 90 may further include a memory (not shown) for storing instructions and data required for the processor 91 to operate.

The processor 91 is configured to execute instructions to implement the methods provided by any of the embodiments of the data trafficking method of the present invention described above and any non-conflicting combinations.

Referring to fig. 10, fig. 10 is a schematic structural diagram of a storage medium according to an embodiment of the invention. The storage medium 100 of an embodiment of the present invention stores instructions that, when executed, implement the methods provided by any embodiment of the data trafficking method of the present invention and any non-conflicting combination. The instructions may form a program file stored in the storage medium in the form of a software product, so as to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute all or part of the steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a mobile hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or terminal devices, such as a computer, a server, a mobile phone, and a tablet.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.

Claims

1. A data transaction method is applied to a data transaction platform and comprises the following steps:

receiving a transaction request of a data usage party, the transaction request including information of a target data set of transaction usage rights;

determining that the data consumer has reached a usage right transaction for the target data set with a data provider of the target data set;

receiving a computational task for the data consumer for the target data set, the computational task including computational logic;

and sending the computing task to a corresponding computing node, and informing the data provider to send the ciphertext of the target data set to the computing node, so that the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computing logic to obtain the ciphertext of a computing result and provides the ciphertext of the computing result to a result acquirer.

2. The method of claim 1, wherein the receiving a transaction request from a data consumer further comprises:

and receiving data set information of the data provider.

3. The method of claim 1, wherein the determining that the data consumer has reached a usage right transaction for the target data set with a data provider of the target data set comprises:

matching the transaction request with transaction conditions provided by the data user;

and if the matching is successful, determining that the data user and the data provider of the target data set achieve the usage right transaction of the target data set.

4. The method of claim 1, wherein the computational logic is obtained in a manner that includes at least one of:

receiving the computational logic provided by a data consumer;

receiving computational logic selected by the data consumer from computational logic provided by the data trafficking platform;

receiving computational logic selected by the data consumer from computational logic provided by a third party;

receiving computing logic selected by the data consumer from the computing logic provided by the data provider.

5. The method of claim 1, wherein before sending the computing task to the corresponding computing node, further comprising:

sending a newly added task request to a task scheduling management server, wherein the newly added task request is used for informing the task scheduling management server of scheduling the computing task;

the sending the computing task to the corresponding computing node includes:

and sending the computing task to a corresponding computing node through the task scheduling management server.

6. The method of claim 1,

the result acquirer is the data consumer or a third party included in the computing task.

7. A data transaction method is applied to a data user and comprises the following steps:

sending a transaction request to a data transaction platform, wherein the transaction request comprises information of a target data set of transaction use rights;

based on the data transaction platform, closing a usage right transaction with a data provider of the target data set;

and sending a calculation task aiming at the target data set to the data transaction platform, wherein the calculation task comprises calculation logic and is used for requesting multi-party safe calculation of the ciphertext of the target data set based on the calculation logic, and obtaining the ciphertext of a calculation result and providing the ciphertext to a result acquisition party.

8. A method of data transaction, comprising:

the data provider uploads the information of the target data set to the data transaction platform;

based on the data transaction platform, the data provider and the data user achieve the usage right transaction of the target data set;

the data consumer sends a computation task for the target data set to the data transaction platform, wherein the computation task comprises computation logic;

the data transaction platform sends the computing task to a corresponding computing node, and informs the data provider to send the ciphertext of the target data set to the computing node;

the data provider sends the ciphertext of the target data set to the computing node;

and the computing node performs multi-party safe computation on the ciphertext of the target data set based on the computation logic to obtain the ciphertext of a computation result and provides the ciphertext of the computation result to a result obtaining party.

9. A data transaction apparatus, characterized in that the data transaction apparatus comprises a processor,

the processor is configured to execute instructions to implement the method of any one of claims 1-7.

10. A storage medium storing instructions that, when executed, implement the method of any one of claims 1-7.