WO2022032988A1 - Data processing method, apparatus and device, and medium - Google Patents

Abstract

A data processing method, apparatus and device, and a medium. The data processing method comprises: receiving a data query request sent by a data query node, wherein the data query request is used for querying target transaction data (S510); in response to the data query request, when it is determined that the target transaction data is compliant data, acquiring the target transaction data (S520); and sending the target transaction data to the data query node (S530). As such, the leakage of transaction data that is already on a chain can be prevented.

Description

Data processing method, apparatus, equipment and medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the priority of Chinese Patent Application No. 202010820392.1 filed on August 14, 2020, entitled "Data Processing Method, Apparatus, Equipment and Medium", the entire content of which is incorporated herein by reference.

technical field

The present disclosure belongs to the technical field of data processing, and in particular, relates to a data processing method, apparatus, device and medium.

Background technique

Blockchain technology is a distributed database technology that uses cryptography and consensus mechanisms to ensure that data cannot be tampered with and cannot be forged. With the development of computer and Internet technology, blockchain technology is favored for its advantages of decentralization, openness, transparency, non-tampering, and trustworthiness. It is widely used in many fields such as file storage, proof of existence, identity verification, and equity crowdfunding.

In order to ensure the data security of the blockchain, once the data is on the chain, it cannot be modified. After the transaction related parties upload the transaction data to the chain, if the transaction data that has been uploaded on the chain is not protected, the transaction data of the transaction related parties may be leaked.

SUMMARY OF THE INVENTION

Embodiments of the present disclosure provide a data processing method, apparatus, device, and medium, which can avoid leakage of transaction data that has been uploaded on the chain.

In a first aspect, an embodiment of the present disclosure provides a data processing method, including:

Receive a data query request sent by a data query node; wherein, the data query request is used to query target transaction data;

In response to the data query request, in the case that the target transaction data is determined to be compliant data, obtain the target transaction data;

Send the target transaction data to the data query node.

In a second aspect, an embodiment of the present disclosure provides a data processing apparatus, including:

a first receiving module, configured to receive a data query request sent by a data query node; wherein, the data query request is used to query target transaction data;

a first obtaining module, configured to obtain the target transaction data in response to the data query request under the condition that the target transaction data is determined to be compliant data;

The first sending module is used for sending the target transaction data to the data query node.

In a third aspect, an embodiment of the present disclosure provides a data processing device, the device comprising: a processor and a memory storing computer program instructions;

The data processing method according to the first aspect is implemented when the processor executes the computer program instructions.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, where computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the data processing method described in the first aspect is implemented .

In the data processing method, device, device, and medium of the embodiments of the present disclosure, after receiving a data query request sent by a data query node for querying target transaction data, if it is determined that the target transaction data is compliant data, the target transaction data is obtained , and send the target transaction data to the data query node. Therefore, after receiving the data query request sent by the data query node, only the compliant data can be sent to the data query node to avoid the leakage of non-compliant transaction data.

Description of drawings

The present disclosure can be better understood from the following description of specific embodiments of the present disclosure in conjunction with the accompanying drawings. Wherein, the same or similar reference numerals denote the same or similar features.

FIG. 1 is an architectural diagram of an example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure;

FIG. 2 is an architectural diagram of another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure;

3 is an architectural diagram of another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure;

4 is an architectural diagram of still another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure;

5 is a schematic flowchart of an embodiment of a data processing method according to the first aspect of the present disclosure;

6 is a schematic structural diagram of an embodiment of a data processing apparatus according to the second aspect of the present disclosure;

FIG. 7 is a schematic diagram of a hardware structure of an embodiment of a data processing device according to the third aspect of the present disclosure.

detailed description

The features and exemplary embodiments of various aspects of the present disclosure will be described in detail below. In order to make the purpose and advantages of the present disclosure more comprehensible, the present disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present disclosure, and not to limit the present disclosure. It will be apparent to those skilled in the art that the present disclosure may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present disclosure by illustrating examples of the present disclosure.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprises" does not preclude the presence of additional identical elements in a process, method, article, or device that includes the element.

The data processing method provided by the present disclosure can be applied to the architectures as shown in FIG. 1 to FIG. 4 , and will be described in detail with reference to FIGS. 1 to 4 .

FIG. 1 shows an architecture diagram of an example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure. As shown in FIG. 1 , the architecture can be applied to a blockchain network, and the architecture diagram can include a user contract 110 and a supervision encapsulation interface 120 , and the supervision encapsulation interface 120 includes a calling supervision instance 121 .

In some embodiments, the user contract 110 may communicate with a data query node, and the data query node may be an electronic device or a server, and the electronic device may be a mobile phone, a tablet computer, a desktop computer, a vehicle terminal, a wearable device, and other devices with communication functions , the server may be a device with storage and computing functions, such as a cloud server or a server cluster.

In some embodiments, the blockchain network may be a blockchain service network (Block-chain-based Service Network, BSN).

Continuing to refer to FIG. 1 , the data query node can generate a data query request corresponding to the data query command in response to a data query instruction sent by the user for querying target transaction data, and call the supervision encapsulation interface 120 through the user contract 110, so as to invoke the supervision Instance 121 receives a data query request for querying target transaction data.

The calling supervision instance 121 can receive the data query request sent by the data query node, and in response to the data query request, in the case of determining that the target transaction data is compliant data, obtain the target transaction data to send the target transaction data to the data query node.

Therefore, after receiving the data query request sent by the data query node, only compliant data can be sent to the data query node to avoid leakage of non-compliant transaction data.

FIG. 2 shows an architecture diagram of another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure. As shown in FIG. 2 , the architecture diagram may include a user contract 110 , a supervisory package interface 120 and a state database 130 . The supervision encapsulation interface 120 may be formed by encapsulating the calling supervision instance 121 and the native data interface 122 .

It should be noted that the principles of the user contract 110 and the invocation supervision instance 121 in the architecture shown in FIG. 2 are similar to those of the user contract 110 and the invocation supervision instance 121 in the architecture shown in FIG. 1 , and will not be repeated here.

The state database 130 may be a database in a distributed ledger, and the calling supervision instance 121 may communicate with the state database 130 by calling the native data interface 122, thereby realizing the acquisition and storage of the compliance state flag value.

The status database 130 may pre-store a plurality of compliance status flag values. The calling supervision instance 121 can call the state database, so that the state database queries the compliance state flag value corresponding to the target string, and after receiving the compliance state flag value corresponding to the target transaction data, the received compliance state flag value is In the case of the target value, the target transaction data is determined to be compliant data.

Therefore, the compliance status flag value corresponding to each on-chain transaction data can be stored in the state database, and the compliance status flag value can be used to determine whether each on-chain transaction data is compliant data.

FIG. 3 shows an architecture diagram of another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure. As shown in FIG. 3 , the architecture diagram may include a user contract 110 , a supervision package interface 120 , a state database 130 and a supervision contract 140 . The supervision encapsulation interface 120 may be formed by encapsulating the calling supervision instance 121 and the native data interface 122 .

It should be noted that the principles of the user contract 110 , the state database 130 and the invocation supervision instance 121 in the architecture shown in FIG. 3 are the same as the principles of the user contract 110 , the state database 130 and the invocation supervision instance 121 in the architecture shown in FIG. 2 similar, and will not be repeated here.

Invoking supervision instance 121 may also communicate with supervision contract 140 . The calling supervision instance 121 can also communicate with the state database 130 by calling the native data interface 122, thereby realizing the acquisition and storage of the target transaction data.

In some embodiments, before calling the supervision instance 121 to store the target transaction data in the state database 130 through the native data interface 122, the supervision contract 140 may also be called, so as to perform the target data detection on the target transaction data through the supervision contract 140, and obtain The supervision result enables the calling supervision instance 121 to store the compliance status flag value corresponding to the supervision result and the target transaction data in the state database 130 when the supervision result is that the target transaction data does not exist in the target data.

In other embodiments, when the target transaction data is the transaction data that has been on the chain, calling the supervision instance 121 may also call the supervision contract 140 to detect the target transaction data through the supervision contract 140 and obtain supervision. As a result, the calling supervision instance 121 can store the compliance status flag value and target transaction data corresponding to the supervision result in the status database 130 .

Examples of target data may be preset keywords, such as sensitive words.

Therefore, target data such as sensitive words in the transaction data can be screened before the transaction data is uploaded to the chain or after the transaction data is uploaded to the chain, so as to avoid the leakage of the transaction data.

FIG. 4 shows an architecture diagram of still another example of data processing according to an embodiment of the data processing method of the first aspect of the present disclosure. As shown in FIG. 3, the architecture diagram may include a user contract 110, a supervision package interface 120, a state database 130, and a supervision system server 150 of an offline supervision institution. The supervision encapsulation interface 120 includes a calling supervision instance 121 and a native data interface 122 , and the calling supervision instance 121 is also connected in communication with the supervision system server 150 .

It should be noted that the principles of the user contract 110 , the state database 130 and the invocation supervision instance 121 in the architecture shown in FIG. 4 are the same as the principles of the user contract 110 , the state database 130 and the invocation supervision instance 121 in the architecture shown in FIG. 2 similar, and will not be repeated here.

In some embodiments, before calling the supervision instance 121 to store the target transaction data in the state database 130 through the native data interface 122, the target transaction data may also be sent to the supervision system server 150, so that the offline supervision agency can utilize the supervision system The server 150 performs automatic or manual supervision, obtains the supervision result corresponding to the target transaction data, and feeds back the supervision result to the calling supervision instance 121 . Invoking the supervision instance 121 may store the compliance status flag value corresponding to the supervision result and the target transaction data in the state database 130 when the supervision result is that there is no target data in the target transaction data.

In other embodiments, when the target transaction data is the transaction data that has been on the chain, calling the supervision instance 121 can send the target transaction data to the supervision system server 150, so that the offline supervision agency can use the supervision system server 150 Perform automatic or manual supervision, obtain the supervision result corresponding to the target transaction data, and feed back the supervision result to the calling supervision instance 121 . Invoking the supervision instance 121 can determine the compliance status flag value corresponding to the supervision result, and store it in the status database.

Therefore, offline regulatory agencies can be used to supervise the transaction data before or on the chain, and then determine whether the transaction data is compliant data, and avoid the leakage of transaction data.

FIG. 5 shows a schematic flowchart of an embodiment of the data processing method of the first aspect of the present disclosure.

In some embodiments of the present disclosure, the method shown in FIG. 5 may be executed by the call supervision instance 120 in the architecture shown in FIG. 1 to FIG. 4 , or may be executed by a smart contract engine, which is not limited herein.

As shown in FIG. 5 , the data processing method may include S510 , receiving a data query request sent by a data query node, wherein the data query request is used to query target transaction data.

In some embodiments of the present disclosure, the data query node may call the supervision encapsulation interface through the user contract, so that the calling supervision instance receives the data query request through the supervision encapsulation interface.

As shown in FIG. 5 , the data processing method further includes S520. In response to the data query request, in the case that the target transaction data is determined to be compliant data, obtain the target transaction data.

In some embodiments of the present disclosure, target transaction data may be stored in the form of key-value pairs. The key of the key-value pair may be the target string, the value of the key-value pair may be the target transaction data, and the target string may be used to index the target transaction data.

Further, the data query request may carry a target string, and the target string may be associated with a compliance status mark value, and the compliance status mark value may be used to determine the target transaction data number as compliance data. In the case where the compliance status flag value is the target value, it can be determined that the target transaction data is compliance data; in the case where the compliance status flag value is not the target value, it can be determined that the target transaction data is not compliance data.

Taking the target value of 1 as an example, when the compliance status flag value is 1, it can be determined that the target transaction data is compliant data, and when the compliance status flag value is 0, it can be determined that the target transaction data is not compliant data.

In these embodiments, before S520, the data processing method may further include:

Analyzing the data query request to obtain data query request information; wherein the data query request information includes a target string corresponding to the target transaction data;

Get the compliance status tag value corresponding to the target string;

Wherein, determining the target transaction data as compliance data may include:

In the case that the compliance status flag value is the target value, it is determined that the target transaction data is the compliance data.

Specifically, after receiving the data query request, the calling supervision instance may parse the data query request to obtain data query request information, and then obtain the target string carried in the data query request from the data query request information. Then, calling the supervision instance can query the compliance status tag value corresponding to the target string, and determine the target transaction data as compliance data when the compliance status tag value is determined to be the target value.

In some embodiments, the target string and the compliance status flag value corresponding to the target string may be associated and stored in the calling supervision instance.

In other embodiments, the target string and the compliance status flag value corresponding to the target string may be associated and stored in the status database of the distributed ledger.

In these embodiments, optionally, before acquiring the compliance status flag value corresponding to the target string, the data processing method may further include:

Call the state database to make the state database query the compliance state tag value corresponding to the target string.

Correspondingly, obtaining the compliance status flag value corresponding to the target string may include:

Get the compliance status flag value corresponding to the target string fed back by the status database.

Specifically, the calling supervision instance may call the state database according to the target string, so that the state database state database queries the compliance state flag value corresponding to the target string. The calling supervision instance can receive the compliance status tag value corresponding to the target string fed back by the status database, so as to obtain the compliance status tag value corresponding to the target string.

Further, the calling supervisor instance may call the state database through the native data interface 122 according to the target string.

In these embodiments, optionally, before acquiring the target transaction data, the data processing method may further include:

Call the state database to make the state database query the target transaction data corresponding to the target string.

Accordingly, acquiring target transaction data may include:

Get the target transaction data fed back by the state database.

Specifically, the calling supervision instance can call the state database according to the target string, so that the state database indexes the target transaction data corresponding to the target string in a plurality of pre-stored transaction data, and then feeds back the target transaction data to the calling supervision instance, So that the calling supervisor instance receives the target transaction data fed back by the state database.

Specifically, the calling supervision instance may call the state database through the native data interface 122 according to the target string.

As shown in FIG. 5 , the data processing method further includes S530 , sending target transaction data to a data query node.

In the embodiment of the present disclosure, after receiving the data query request sent by the data query node for querying the target transaction data, if it is determined that the target transaction data is compliant data, the target transaction data is acquired, and the target transaction data is sent to the data query node. Therefore, after receiving the data query request sent by the data query node, only the compliant data can be sent to the data query node to avoid the leakage of non-compliant transaction data.

In another embodiment of the present disclosure, in order to further avoid leakage of transaction data, after S510, the data processing method may further include:

In response to the data query request, if it is determined that the target transaction data is not compliant data, first prompt information is sent to the data query node. The first prompt information is used to prompt that the target transaction data is not compliant.

Therefore, invoking the supervision instance can prompt the user that the target transaction data to be queried is not compliant through the first prompt message when it is determined that the target transaction data is not compliant data, so as to further avoid the leakage of transaction data.

Wherein, the first prompt information may include information used to represent "data violation, cannot be queried", so as to prompt the user that the target transaction data to be queried is not compliant.

Optionally, the calling supervision instance may send the first prompt information to the data query node through the user contract.

Further, calling the supervision instance can call the user contract through the supervision encapsulation interface, so as to send the first prompt information to the data query node.

In some embodiments of the present disclosure, in order to further avoid leakage of transaction data, after S510, the data processing method may further include:

In response to the data query request, if it is determined that the target transaction data is not compliant data, the target transaction data is refused to be sent to the data query node.

Therefore, invoking the supervision instance can not feed back the target transaction data to the data query node when it is determined that the target transaction data is not compliant data, so as to further avoid the leakage of transaction data.

In yet another embodiment of the present disclosure, when the target transaction data is stored data, that is, when the target transaction data is on-chain transaction data, in order to further avoid leakage of transaction data, before S510, the data Processing methods can also include:

Send the target transaction data to the supervision system server, so that the supervision system server can feed back the supervision results corresponding to the target transaction data;

Receive the supervision results fed back by the supervision system server;

Determines the compliance status flag value corresponding to the regulatory result.

Specifically, if the supervisory instance is called to communicate with the supervisory system server, the supervisory instance can be called to send the target transaction data to the supervisory system server of the offline supervisory agency, so that the offline supervisory institution can use the supervisory system server for automatic or manual supervision. , obtain the supervision result corresponding to the target transaction data, and feed back the supervision result to the calling supervision instance.

In some embodiments, the supervision system server may input the target transaction data into a pre-trained compliance detection model, and obtain supervision results corresponding to the target transaction data, so as to realize automatic supervision.

In other embodiments, the supervision system server can push the target transaction data to the mobile terminal and the web terminal, so that the supervisors of the offline supervision agency can manually supervise the target transaction data, and obtain the supervision results corresponding to the target transaction data, so as to Implement manual supervision.

Specifically, when the supervision result indicates that the target transaction data is compliant data, the supervision instance can be called to determine that the compliance status flag value is the target value; when the supervision result indicates that the target transaction data is not compliant data, the supervision instance is called It can be determined that the compliance status flag value is not the target value.

In other embodiments, before sending the target transaction data to the supervision system server, the data processing method may further include:

Generate target events according to target transaction data;

Accordingly, sending the target transaction data to the supervisory system server may include:

Send the target event to the supervisory system server.

Specifically, the supervision system server can also subscribe to the events in the calling supervision instance. For example, when the calling supervision instance detects that there is unsupervised target transaction data in the transaction data on the chain, the calling supervision instance will call the supervision instance according to the target transaction data. data, generate target events, and send the target events to the supervision system server, so that the supervision system server can obtain the target transaction data and conduct offline supervision.

In other embodiments of the present disclosure, when the target transaction data is stored data, that is, when the target transaction data is on-chain transaction data, in order to further avoid the leakage of transaction data, before S510, the data processing Methods can also include:

Invoke the supervision contract, so that the supervision contract can detect the target data in the target transaction data, and obtain the supervision result corresponding to the target transaction data;

Receive the regulatory results fed back by the regulatory contract;

Determines the compliance status flag value corresponding to the regulatory result.

Specifically, if the calling supervision instance has a callable supervision contract, the calling supervision instance can call the supervision contract, so that the supervision contract detects the target data in the target transaction data, and obtains the supervision result corresponding to the target transaction data. In the case where it is detected that the target data does not exist in the target transaction data, the supervision result indicates that the target transaction data is compliant data; in the case where it is detected that the target data exists in the target transaction data, the supervision result indicates that the target transaction data is not compliant data .

After the calling supervision instance receives the detection result fed back by the supervision contract, if the supervision result indicates that the target transaction data is compliant data, the compliance status flag value can be determined as the target value; if the supervision result indicates that the target transaction data is not compliant In the case of data, it can be determined that the compliance status flag value is not the target value.

Therefore, in the embodiment of the present disclosure, it is possible to supervise the transaction data that has been uploaded to the chain. If the transaction data is not compliant, the non-compliant transaction data is marked by setting the compliance status mark value, thereby restricting data query nodes. Access to non-compliant transaction data. In addition, the regulatory behavior is flexible and configurable and can be upgraded or updated at any time.

In some embodiments, after determining the compliance status flag value corresponding to the supervision result, the data processing method may further include:

Get the target string corresponding to the target transaction data;

Associate the target string with the compliance status tag value and store it in the status database.

Specifically, the calling supervision instance may, after determining the compliance status flag value corresponding to the supervision result, send the target string corresponding to the target transaction data to the status database, so that the status database can send the target string corresponding to the target string to the status database. The compliance status tag value is stored in association with the status database.

In other embodiments, after the compliance status flag value corresponding to the supervision result is determined, the calling supervision instance may also associate and store the target string corresponding to the target transaction data locally.

In yet another embodiment of the present disclosure, before receiving the data query request sent by the data query node, the data processing method may further include:

Receive the data storage request sent by the data storage node;

In response to the data storage request, the data storage request is parsed to obtain data storage request information; wherein the data storage request information includes a target string and target transaction data;

The target string and target transaction data are associated and stored in the state database.

Specifically, the calling supervision instance can parse the data storage request after receiving the data storage request sent by the data storage node, obtain the target string to be stored and the target transaction data in the data storage request information, and then convert the target string Associated with the target transaction data and stored in the state database.

In some embodiments of the present disclosure, in order to further avoid the leakage of transaction data, before the target string and the target transaction data are associated and stored in the state database, the data processing method may further include:

Invoke the supervision contract, so that the supervision contract can detect the target data in the target transaction data, and obtain the supervision result corresponding to the target transaction data;

Receive the regulatory results fed back by the regulatory contract;

Determines the compliance status flag value corresponding to the regulatory result.

Correspondingly, storing the target string and target transaction data in association with the state database may include:

In the case that the compliance status tag value corresponding to the supervision result is the target value, the compliance status tag value and the target transaction data are respectively associated with the target character string and stored in the status database.

Optionally, if the calling supervision instance has a callable supervision contract, the calling supervision instance can call the supervision contract, so that the supervision contract can detect the target data in the target transaction data based on the preset supervision rules, and obtain the supervision corresponding to the target transaction data. result. In the case where it is detected that the target data does not exist in the target transaction data, the supervision result indicates that the target transaction data is compliant data; in the case where it is detected that the target data exists in the target transaction data, the supervision result indicates that the target transaction data is not compliant data . After receiving the supervision result fed back by the supervision contract, the calling supervision instance can determine the compliance status flag value corresponding to the supervision result. In the case where the supervision result indicates that the target transaction data is compliant data, calling the supervision instance can determine that the compliance status flag is the target value; when the supervision result indicates that the target transaction data is not compliant data, the compliance status tag can be determined value is not the target value. Finally, when calling the supervision instance, when the compliance status flag corresponding to the supervision result is the target value, the target string and the target transaction data can be associated and stored in the state database, and then only the ones that are preliminarily judged to be free of leakage risk by using the supervision contract are stored in the state database. The transaction data is stored on the state database, thereby avoiding the leakage of transaction data.

In other embodiments of the present disclosure, in order to further avoid the leakage of transaction data, before the target string and the target transaction data are associated and stored in the state database, the data processing method may further include:

Send the target transaction data to the supervision system server, so that the supervision system server can feed back the supervision results corresponding to the target transaction data;

Receive the supervision results fed back by the supervision system server;

Determines the compliance status flag value corresponding to the regulatory result.

Correspondingly, storing the target string and target transaction data in association with the state database may specifically include:

In the case that the compliance status tag value corresponding to the supervision result is the target value, the compliance status tag value and the target transaction data are respectively associated with the target character string and stored in the status database.

Optionally, if the calling supervision instance is in communication with the supervision system server, the calling supervision instance can send the target transaction data to the supervision system server of the offline supervision institution, so that the offline supervision institution can use the supervision system server to automatically or manually Supervision, obtain the supervision result corresponding to the target transaction data, and feed back the supervision result to the calling supervision instance. When the supervision result indicates that the target transaction data is compliant data, calling the supervision instance can determine that the compliance status flag is the target value; when the supervision result indicates that the target transaction data is not compliant data, calling the supervision instance can determine the compliance status. The gauge status tag value is not the target value. Finally, when calling the supervision instance, when the compliance status flag corresponding to the supervision result is the target value, the target string and the target transaction data can be associated and stored in the state database, and then only the ones that are preliminarily judged to be free of leakage risk by using the supervision contract are stored in the state database. The transaction data is stored on the state database, thereby avoiding the leakage of transaction data.

Therefore, in the embodiment of the present disclosure, penetrating and non-perceptual supervision can be performed on the transaction data on the chain. Users only need to call the supervision encapsulation interface, the transaction data does not need to be signed, and the supervision behavior is not perceived by the user.

In some embodiments, after determining the compliance status flag value corresponding to the supervision result, the data processing method may further include:

In the case that the compliance state flag value corresponding to the supervision result is not the target value, the second prompt information is fed back to the data storage node. Wherein, the second prompt information is used to prompt that the target transaction data detection fails.

In this way, invoking the supervision instance can determine that the target transaction data is not compliant when it is determined that the compliance status flag value corresponding to the supervision result is not the target value, and then use the second prompt message to prompt the user that the target transaction data to be stored is not compliant , to further avoid the leakage of transaction data.

Wherein, the second prompt information may include information used to represent "data violation and cannot be uploaded to the chain", so as to prompt the user that the target transaction data to be stored is not compliant.

In some embodiments, after determining the compliance status flag value corresponding to the supervision result, the data processing method may further include:

In the case that the compliance status flag value corresponding to the supervision result is not the target value, it is refused to store the target string and target transaction data in the state database in association.

Therefore, the calling supervision instance may not upload the target transaction data to the state database when it is determined that the detection result is that the target data is detected, so as to further avoid the leakage of the transaction data.

FIG. 6 shows a schematic structural diagram of an embodiment of a data processing apparatus according to the second aspect of the present disclosure.

In some embodiments of the present disclosure, the apparatus shown in FIG. 6 may be set in the call supervision instance 120 in the architecture shown in FIG. 1 to FIG. 4 , or may be set in a smart contract engine, which is not limited herein.

As shown in FIG. 6 , the data processing apparatus 600 may include a first receiving module 610 , a first obtaining module 620 and a first sending module 630 .

The first receiving module 610 may be configured to receive a data query request sent by a data query node; wherein, the data query request is used to query target transaction data.

The first obtaining module 620 may be configured to obtain the target transaction data in response to the data query request under the condition that the target transaction data is determined to be compliant data.

The first sending module 630 may be configured to send the target transaction data to the data query node.

In the embodiment of the present disclosure, after receiving the data query request sent by the data query node for querying the target transaction data, if it is determined that the target transaction data is compliant data, the target transaction data is acquired, and the target transaction data is sent to the data query node. transaction data. Therefore, after receiving the data query request sent by the data query node, only the compliant data can be sent to the data query node to avoid the leakage of non-compliant transaction data.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a second sending module, and the second sending module may be configured to, in response to the data query request, query the data when it is determined that the target transaction data is not compliant data The node sends first prompt information. The first prompt information is used to prompt that the target transaction data is not compliant.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a first processing module, and the first processing module may be configured to, in response to a data query request, refuse to submit the data to the data in the case that it is determined that the target transaction data is not compliant data The query node sends the target transaction data.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a first parsing module, a second acquiring module, and a first determining module.

The first parsing module may be configured to parse the data query request to obtain data query request information, wherein the data query request information includes a target character string corresponding to the target transaction data.

The second obtaining module may be configured to obtain the compliance status flag value corresponding to the target string.

The first confirmation module may be configured to determine the target transaction data as compliance data when the compliance status flag value is the target value.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a first calling module, and the first calling module may be configured to call the state database, so that the state database may query the compliance state flag value corresponding to the target string.

Correspondingly, the second obtaining module may be specifically configured to obtain the compliance status flag value corresponding to the target string fed back by the status database.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a second calling module, and the second calling module may be configured to call the state database, so that the state database can query the target transaction data corresponding to the target string.

Correspondingly, the first obtaining module 620 may be specifically configured to obtain the target transaction data fed back by the state database.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a third sending module, a second receiving module, and a second determining module.

The third sending module may be configured to send the target transaction data to the supervision system server, so that the supervision system server feeds back the supervision result corresponding to the target transaction data.

The second receiving module may be configured to receive the supervision result fed back by the supervision system server.

The second determination module may be configured to determine the compliance status flag value corresponding to the supervision result.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a third calling module, a third receiving module, and a third determining module.

The third calling module can be used to call the supervision contract, so that the supervision contract detects the target data in the target transaction data, and obtains the supervision result corresponding to the target transaction data.

The third receiving module can be used to receive the supervision result fed back by the supervision contract.

The third determination module may be configured to determine the compliance status flag value corresponding to the supervision result.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a third acquisition module and a first storage module.

The third obtaining module may be used to obtain the target character string corresponding to the target transaction data.

The first storage module may be configured to store the target string and the compliance status flag value in association with the status database.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a first generating module, and the first generating module may be configured to generate a target event according to the target transaction data.

Correspondingly, the third sending module may be specifically configured to send the target event to the supervision system server.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a fourth receiving module, a second parsing module, and a second storage module.

The fourth receiving module may be configured to receive the data storage request sent by the data storage node.

The second parsing module may be configured to parse the data storage request in response to the data storage request to obtain data storage request information, wherein the data storage request information includes target character strings and target transaction data.

The second storage module may be configured to store the target character string and the target transaction data in a state database in association with each other.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a fourth calling module, a fifth receiving module, and a fourth determining module.

The fourth calling module calls the supervision contract, so that the supervision contract detects the target data in the target transaction data, and obtains the supervision result corresponding to the target transaction data.

The fifth receiving module may be used to receive the supervision result fed back by the supervision contract.

The fourth determination module may be used to determine the compliance status flag value corresponding to the supervision result.

Correspondingly, the second storage module may be specifically configured to store the compliance status mark value and the target transaction data in the status database in association with the target character string when the compliance status mark value corresponding to the supervision result is the target value.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a fourth sending module, a sixth receiving module, and a fifth determining module.

The fourth sending module may be configured to send the target transaction data to the supervision system server, so that the supervision system server feeds back the supervision result corresponding to the target transaction data.

The sixth receiving module may be configured to receive the supervision result fed back by the supervision system server.

The fifth determination module may be used to determine the compliance status flag value corresponding to the supervision result.

Correspondingly, the second storage module may be specifically configured to store the compliance status mark value and the target transaction data in the status database in association with the target character string when the compliance status mark value corresponding to the supervision result is the target value.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a fifth sending module, and the fifth sending module may be configured to feed back to the data storage node when the compliance status flag value corresponding to the supervision result is not the target value Second prompt message. Wherein, the second prompt information is used to prompt that the target transaction data detection fails.

In some embodiments of the present disclosure, the data processing apparatus 600 may further include a second processing module, and the second processing module may be configured to refuse to convert the target string to the target string when the compliance status flag value corresponding to the supervision result is not the target value Associated with the target transaction data and stored in the state database.

It should be noted that the data processing apparatus 600 shown in FIG. 6 can execute various steps in the method embodiment shown in FIG. 5 and realize various processes and effects in the method embodiment shown in FIG. Repeat.

FIG. 7 shows a schematic diagram of a hardware structure of an embodiment of a data processing device according to the third aspect of the present disclosure.

The data processing apparatus may include a processor 701 and a memory 702 having computer program instructions stored thereon.

Specifically, the above-mentioned processor 701 may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present disclosure.

Memory 702 may include mass storage for data or instructions. By way of example and not limitation, memory 702 may include a Hard Disk Drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a Universal Serial Bus (USB) drive or two or more A combination of more than one of the above. Memory 702 may include removable or non-removable (or fixed) media, where appropriate. Storage 702 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In certain embodiments, memory 702 is non-volatile solid state memory. In certain embodiments, memory 702 includes read only memory (ROM). Where appropriate, the ROM may be a mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically rewritable ROM (EAROM) or flash memory or A combination of two or more of the above.

The processor 701 reads and executes the computer program instructions stored in the memory 702 to implement any one of the data processing methods in the foregoing embodiments.

In one example, the data processing device may also include a communication interface 703 and a bus 710 . Among them, as shown in FIG. 7 , the processor 701 , the memory 702 , and the communication interface 703 are connected through the bus 710 and complete the mutual communication.

The communication interface 703 is mainly used to implement communication between modules, apparatuses, units and/or devices in the embodiments of the present disclosure.

Bus 710 includes hardware, software, or both, coupling components of the data processing device to each other. By way of example and not limitation, the bus may include Accelerated Graphics Port (AGP) or other graphics bus, Enhanced Industry Standard Architecture (EISA) bus, Front Side Bus (FSB), HyperTransport (HT) Interconnect, Industry Standard Architecture (ISA) Bus, Infiniband Interconnect, Low Pin Count (LPC) Bus, Memory Bus, Microchannel Architecture (MCA) Bus, Peripheral Component Interconnect (PCI) Bus, PCI-Express (PCI-X) Bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association Local (VLB) bus or other suitable bus or a combination of two or more of the above. Bus 710 may include one or more buses, where appropriate. Although embodiments of the present disclosure describe and illustrate a particular bus, this disclosure contemplates any suitable bus or interconnect.

The data processing device can execute the information processing method in the embodiment of the present disclosure, thereby implementing the data processing method and apparatus described in conjunction with FIG. 5 and FIG. 6 .

In addition, in combination with the data processing methods in the foregoing embodiments, the embodiments of the present disclosure may be implemented by providing a computer-readable storage medium. Computer program instructions are stored on the computer-readable storage medium; when the computer program instructions are executed by the processor, any one of the data processing device methods in the foregoing embodiments is implemented. Examples of computer-readable storage media shown include non-transitory computer-readable storage media, such as read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), magnetic disks or CD etc.

It is to be understood that the present disclosure is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above-described embodiments, several specific steps are described and shown as examples. However, the method process of the present disclosure is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order of steps after comprehending the spirit of the present disclosure.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, elements of the present disclosure are programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted over a transmission medium or communication link by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments may be downloaded via a computer network such as the Internet, an intranet, or the like.

It should also be noted that the exemplary embodiments mentioned in the present disclosure describe some methods or systems based on a series of steps or devices. However, the present disclosure is not limited to the order of the above steps, and the steps may be performed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be performed simultaneously.

The above are only specific implementations of the present disclosure, and those skilled in the art can clearly understand that, for the convenience and brevity of the description, for the specific working process of the above-described systems, modules and units, reference may be made to the foregoing method embodiments The corresponding process in , will not be repeated here. It should be understood that the protection scope of the present disclosure is not limited to this, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should all cover within the scope of protection of the present disclosure.

Claims (19)

1. A data processing method comprising:

   receiving a data query request sent by a data query node, wherein the data query request is used to query target transaction data;

   In response to the data query request, in the case that the target transaction data is determined to be compliant data, obtain the target transaction data;

   Send the target transaction data to the data query node.
2. The method according to claim 1, wherein after receiving the data query request sent by the data query node, the method further comprises:

   In response to the data query request, if it is determined that the target transaction data is not the compliance data, send first prompt information to the data query node, where the first prompt information is used to prompt the target transaction Data is not compliant.
3. The method according to claim 1, wherein after receiving the data query request sent by the data query node, the method further comprises:

   In response to the data query request, if it is determined that the target transaction data is not the compliant data, refusing to send the target transaction data to the data query node.
4. The method according to claim 1, wherein, when the target transaction data is determined to be compliant data, before acquiring the target transaction data, the method further comprises:

   Analyzing the data query request to obtain data query request information, where the data query request information includes a target character string corresponding to the target transaction data;

   Obtain the compliance status flag value corresponding to the target string,

   Wherein, the determining that the target transaction data is compliance data includes:

   In the case that the compliance status flag value is a target value, it is determined that the target transaction data is the compliance data.
5. The method according to claim 4, wherein, before acquiring the compliance status flag value corresponding to the target string, the method further comprises:

   calling the state database, so that the state database queries the compliance state flag value corresponding to the target string,

   Wherein, the obtaining the compliance status flag value corresponding to the target string includes:

   Obtain the compliance status flag value corresponding to the target string fed back by the status database.
6. The method according to claim 4, wherein before the acquiring the target transaction data, the method further comprises:

   Invoke the state database to make the state database query the target transaction data corresponding to the target string,

   Wherein, the acquiring the target transaction data includes:

   Acquire the target transaction data fed back by the state database.
7. The method according to claim 4, wherein, when the target transaction data is stored data, before the receiving a data query request sent by a data query node, the method further comprises:

   sending the target transaction data to the supervision system server, so that the supervision system server feeds back the supervision result corresponding to the target transaction data;

   receiving the supervision result fed back by the supervision system server;

   The compliance status flag value corresponding to the supervision result is determined.
8. The method according to claim 4, wherein, when the target transaction data is stored data, before the receiving a data query request sent by a data query node, the method further comprises:

   calling the supervision contract, so that the supervision contract detects the target data in the target transaction data, and obtains the supervision result corresponding to the target transaction data;

   receiving the supervision result fed back by the supervision contract;

   The compliance status flag value corresponding to the supervision result is determined.
9. The method according to claim 7 or 8, wherein after the determining the compliance status flag value corresponding to the supervision result, the method further comprises:

   obtaining the target character string corresponding to the target transaction data;

   The target string and the compliance status flag value are associated and stored in a status database.
10. The method according to claim 7, wherein, before the sending the target transaction data to the supervisory system server, the method further comprises:

    According to the target transaction data, a target event is generated,

    Wherein, the sending the target transaction data to the supervision system server includes:

    The target event is sent to the supervisory system server.
11. The method according to claim 4, wherein before receiving the data query request sent by the data query node, the method further comprises:

    Receive the data storage request sent by the data storage node;

    In response to the data storage request, the data storage request is parsed to obtain data storage request information; wherein the data storage request information includes the target character string and the target transaction data;

    The target character string and the target transaction data are associated and stored in a state database.
12. The method according to claim 11 , wherein, before storing the target character string and the target transaction data in association with the state database, the method further comprises:

    calling the supervision contract, so that the supervision contract detects the target data in the target transaction data, and obtains the supervision result corresponding to the target transaction data;

    Receive the supervision result fed back by the supervision contract;

    determining the compliance status flag value corresponding to the supervision result,

    Wherein, storing the target character string and the target transaction data in association with the state database includes:

    When the compliance status flag value corresponding to the supervision result is the target value, the compliance status flag value and the target transaction data are respectively associated with the target character string and stored in the status database.
13. The method according to claim 11 , wherein, before storing the target character string and the target transaction data in association with the state database, the method further comprises:

    sending the target transaction data to the supervision system server, so that the supervision system server feeds back the supervision result corresponding to the target transaction data;

    receiving the supervision result fed back by the supervision system server;

    determining the compliance status flag value corresponding to the regulatory result,

    Wherein, storing the target character string and the target transaction data in association with the state database includes:

    In the case that the compliance state flag value corresponding to the supervision result is the target value, the compliance state flag value and the target transaction data are respectively associated with the target character string and stored in the state database.
14. The method according to claim 12 or 13, wherein after the determining the compliance status flag value corresponding to the supervision result, the method further comprises:

    In the case that the compliance status flag value corresponding to the supervision result is not the target value, feedback second prompt information to the data storage node; wherein the second prompt information is used to prompt the target transaction data detection fail.
15. The method according to claim 12 or 14, wherein after the determining the compliance status flag value corresponding to the supervision result, the method further comprises:

    In the case that the compliance status flag value corresponding to the supervision result is not the target value, refuse to associate and store the target character string and the target transaction data in the status database.
16. The method of claim 1, wherein the method is implemented by a smart contract engine.
17. A data processing device, comprising:

    a first receiving module, configured to receive a data query request sent by a data query node; wherein, the data query request is used to query target transaction data;

    a first obtaining module, configured to obtain the target transaction data in response to the data query request, in the case that the target transaction data is determined to be compliant data;

    The first sending module is configured to send the target transaction data to the data query node.
18. A data processing device, comprising: a processor and a memory storing computer program instructions,

    When the processor executes the computer program instructions, the data processing method according to any one of claims 1-16 is implemented.
19. A computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, implement the data processing method according to any one of claims 1-16.

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