CN111783144A - Data processing method and device based on block chain - Google Patents

Data processing method and device based on block chain Download PDF

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Publication number
CN111783144A
CN111783144A CN202010841139.4A CN202010841139A CN111783144A CN 111783144 A CN111783144 A CN 111783144A CN 202010841139 A CN202010841139 A CN 202010841139A CN 111783144 A CN111783144 A CN 111783144A
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service
audited
data
service data
blockchain
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龙科品
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Alipay Hangzhou Information Technology Co Ltd
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Alipay Hangzhou Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2141—Access rights, e.g. capability lists, access control lists, access tables, access matrices

Abstract

An embodiment of the present specification provides a data processing method and apparatus based on a block chain, where the block chain includes a service platform node device, and the data processing method based on the block chain includes: the service platform node equipment acquires to-be-audited service data generated by at least one service processing policy for performing service processing on a target user, performs entity extraction based on the to-be-audited service data, generates shared to-be-audited service data according to the association relation among entities in an extraction result, and sends a first transaction to the block chain, wherein the first transaction comprises a first digital abstract of the shared to-be-audited service data, so that the first transaction is stored in a distributed database of the block chain after being verified by block chain consensus; the business data to be audited is uploaded to the block chain in this way, and the reliability of the business data to be audited is favorably ensured in the process of performing compliance audit on a business processor or a business platform according to the business data to be audited.

Description

Data processing method and device based on block chain
Technical Field
The embodiment of the present specification relates to the technical field of block chains, and in particular, to a data processing method based on a block chain. One or more embodiments of the present specification also relate to a block chain-based data processing apparatus, a computing device, and a computer-readable storage medium.
Background
With the development of internet technology, various services are developed online one after another, and although an online mode is more convenient for users to serve, in order to obtain a large sales market, more merchants or shops individually select to develop online services, or individually develop offline services, or simultaneously develop online services and offline services, thereby attracting more users.
However, as this phenomenon increases, the sales scenario becomes more complicated, and when some merchants or shops offer services to users, compliance self-check is required to determine whether their operation ranges or operation modes meet the specified compliance conditions. At present, the compliance of business is mainly analyzed and judged by the experience of supervising and managing the professional manpower, the efficiency is low, the requirement on the experience of staff supervising and managing the compliance industry is high, the information acquisition is delayed, the information authenticity is not easy to check, the equivalent rate is low, the timeliness and the effectiveness of supervision are greatly hindered, the efficiency of the compliance supervision and verification process is low, the flow is complex, and therefore an effective method is urgently needed to be provided for solving the problems.
Disclosure of Invention
In view of this, embodiments of the present specification provide a data processing method based on a block chain. One or more embodiments of the present specification also relate to a data processing apparatus based on a block chain, a computing device, and a computer-readable storage medium to solve the technical problems in the prior art.
According to a first aspect of embodiments of the present specification, there is provided a data processing method based on a blockchain, where the blockchain includes a service platform node device, the method including:
the service platform node equipment acquires at least one service processing policy to process the service of a target user to generate service data to be audited;
performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result;
and sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
Optionally, the block chain further includes at least one service processing node device, and the method further includes:
performing entity extraction based on the service data to be audited, and generating the shared service data to be audited and privacy service data aiming at a target service processing party according to an extraction result;
and sending a second transaction to target service processing side node equipment, wherein the second transaction comprises the shared service data to be audited, the privacy service data and a second digital abstract of the privacy service data, so that the target service processing side node equipment generates a service processing result according to a preset service processing rule.
Optionally, the block chain further includes at least one service auditor node device, and the method further includes:
receiving an inspection request submitted by a service auditor for shared service data to be audited, wherein the inspection request carries the identity identification information of the service auditor;
verifying the identity identification information of the service auditor according to at least one identity identification information pre-stored in a database;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
Optionally, the block chain further includes at least one service auditor node device, and the method further includes:
receiving an inspection request submitted by a business auditing party for sharing business data to be audited;
acquiring face identification information uploaded by the service auditor based on the face verification instruction;
verifying the data access authority of the service auditor according to the face identification information;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
Optionally, the performing a digital summary query based on the certificate storage record of the shared to-be-verified service data carried in the verification request to respond to the verification request includes:
generating a third digital abstract based on the shared service data to be audited;
inputting the certificate storage record of the shared service data to be checked carried in the checking request into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage;
and comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared service data to be checked and returning the checking result.
Optionally, after obtaining the to-be-audited service data generated by the at least one service processing policy performing service processing on the target user, and before sending the first transaction to the blockchain, the method further includes:
determining a service category to which the service data to be audited belongs, and determining a corresponding desensitization rule according to the service category and the service data to be audited;
desensitizing the service data to be audited according to the desensitization rule to generate target service data to be audited;
and performing entity extraction based on the target business data to be audited, and generating the shared business data to be audited according to the incidence relation among the entities in the extraction result.
Optionally, the performing entity extraction based on the to-be-audited service data, and generating shared to-be-audited service data according to the association relationship between the entities in the extraction result includes:
extracting and identifying entity information contained in the service data to be audited through a named entity identification model and/or a preset keyword extraction rule, and acquiring incidence relation information between entities corresponding to the entity information from the service data to be audited;
and generating the shared service data to be audited according to the incidence relation information between the entities corresponding to the entity information.
Optionally, the generating a service processing result according to a preset service processing rule includes:
and verifying the shared to-be-verified service data based on the first digital abstract, verifying the privacy service data based on the second digital abstract, and generating a service processing result based on the shared to-be-verified service data and/or the privacy service data after the verification is passed.
Optionally, the data processing method based on a block chain further includes:
and acquiring a third transaction sent to the block chain by the target service processing party node equipment, wherein the third transaction comprises the service processing result, and returning the service processing result to the target user.
Optionally, the block chain is a federation chain, and the service platform node device, the service processor node device, and the service auditor node device are federation chain member node devices.
According to a second aspect of embodiments herein, there is provided a data processing apparatus based on a blockchain, the blockchain including a service platform node device, the apparatus including:
the acquisition module is configured to acquire to-be-audited business data generated by business processing of at least one business processing policy on a target user;
the extraction module is configured to extract entities based on the business data to be audited and generate shared business data to be audited according to the incidence relation among the entities in the extraction result;
the storage module is configured to send a first transaction to the blockchain, wherein the first transaction comprises a first digital summary of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
According to a third aspect of embodiments herein, there is provided a computing device comprising:
a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
the service platform node equipment acquires at least one service processing policy to process the service of a target user to generate service data to be audited;
performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result;
and sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement any one of the steps of the block chain based data processing method.
In one embodiment of the present description, to-be-audited service data generated by performing service processing on a target user by at least one service processing policy is acquired, entity extraction is performed based on the to-be-audited service data, shared to-be-audited service data is generated according to an association relationship between entities in an extraction result, and a first transaction is sent to a block chain, where the first transaction includes a first digital digest of the shared to-be-audited service data, so that the first transaction is stored in a distributed database of the block chain after passing block chain consensus verification;
the method and the device realize the utilization of the openness and the non-tamper property of the data in the block chain, upload the service data to be audited to the block chain in the mode, and are favorable for ensuring the stability and the credibility of the uplink service data to be audited in the process of performing compliance audit on a service processor or a service platform according to the service data to be audited.
Drawings
Fig. 1 is a flowchart of a data processing method based on a block chain according to an embodiment of the present specification;
FIG. 2 is a flow chart of a processing procedure of a data processing method based on a blockchain applied to a fund transaction scenario according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a data processing apparatus based on a block chain according to an embodiment of the present specification;
fig. 4 is a block diagram of a computing device according to an embodiment of the present disclosure.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, as those skilled in the art will be able to make and use the present disclosure without departing from the spirit and scope of the present disclosure.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It will be understood that, although the terms first, second, etc. may be used herein in one or more embodiments to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the present specification, a data processing method based on a block chain is provided, and the present specification relates to a data processing apparatus based on a block chain, a computing device, and a computer readable storage medium, which are described in detail in the following embodiments one by one.
Fig. 1 shows a flowchart of a data processing method based on a blockchain, where the blockchain includes a service platform node device, and the method includes steps 102 to 106 according to an embodiment of the present specification.
Step 102, the service platform node equipment obtains at least one service processing policy to process the service of the target user to generate service data to be audited.
When an enterprise provides services for users, most enterprises can carry out compliance self-check to determine whether the operation range or the operation mode of the enterprise meets the specified compliance conditions, and with the continuous emergence of new technologies, the traditional supervision compliance means cannot cope with the rapid development of various industries. At present, the compliance of business is mainly analyzed and judged by the experience of supervising the professional manpower of compliance, the efficiency is low, the requirement on the experience of staff supervising the compliance industry is high, the information acquisition is delayed, the authenticity of the information is not easy to check, the equivalent rate is low, and great obstacles are caused to the timeliness and the effectiveness of supervision, so that an effective method is urgently needed to solve the problems.
Based on this, in a data processing method based on two blocks provided in an embodiment of the present specification, the block chain includes a service platform node device, where the service platform node device obtains to-be-audited service data generated by at least one service processing party performing service processing on a target user, performs entity extraction based on the to-be-audited service data, generates shared to-be-audited service data according to an association relationship between entities in an extraction result, and sends a first transaction to the block chain, where the first transaction includes a first digital digest of the shared to-be-audited service data, so that the first transaction is stored in a distributed database of the block chain after being verified by block chain consensus;
the method and the device realize the utilization of the openness and the non-tamper property of the data in the block chain, upload the service data to be audited to the block chain in the mode, and are favorable for ensuring the stability and the credibility of the uplink service data to be audited in the process of performing compliance audit on a service processor or a service platform according to the service data to be audited.
Specifically, the service described in the embodiment of the present specification is a target service of a service processing party, where the service processing party specifically refers to an enterprise, a merchant, or a store that provides a relevant service for a user through the service platform and needs to perform service compliance verification for the target service, and the target service includes, but is not limited to, a fund transaction service, a data resource transaction service, a computing resource transaction service, a virtual resource transaction service, and the like; compliance means that the business activities of the enterprise, merchant or store are in accordance with laws, rules and guidelines; the service compliance auditing range specifically refers to service data to be audited corresponding to the target service of the party to be audited; the business data to be audited includes, but is not limited to, fund transaction business data, data resource transaction business data, computing resource transaction business data, virtual resource transaction business data, and the like, and is not limited herein.
In practical application, each target service may include a plurality of service categories, where the service categories are the service categories of the target service of the party to be checked, for example, the service categories corresponding to the fund transaction service include, but are not limited to, fund transaction service, loan service, and the like; the service category corresponding to the virtual resource transaction service includes, but is not limited to, a purchase service of virtual currency, a gift service, and the like.
And 104, performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result.
Specifically, after the service platform node device obtains the to-be-audited service data generated by at least one service processing policy performing service processing on the target user, the to-be-audited service data can be subjected to entity extraction due to a large amount of the to-be-audited service data, and the shared to-be-audited service data is generated according to the incidence relation among the entities in the extraction result and is linked.
In specific implementation, the entity extraction is performed based on the service data to be audited, and the shared service data to be audited is generated according to the association relationship among the entities in the extraction result, which can be specifically realized by the following modes:
extracting and identifying entity information contained in the service data to be audited through a named entity identification model and/or a preset keyword extraction rule, and acquiring incidence relation information between entities corresponding to the entity information from the service data to be audited;
and generating the shared service data to be audited according to the incidence relation information between the entities corresponding to the entity information.
Specifically, Named Entity Recognition (referred to as "near Recognition"), which is also called "proper name Recognition", refers to Recognition of entities having specific meanings in texts, mainly includes names of people, places, names of organizations, proper nouns, and the like, is a basic tool in application fields such as information extraction, question and answer systems, syntactic analysis, machine translation, and the like, and plays an important role in the process of putting natural language processing technology into practical use.
And extracting and identifying entity information contained in the service data to be audited through a named entity identification model, namely inputting the service data to be audited into the named entity identification model for entity identification, and acquiring an entity identification result output by the model.
In practical application, the model corresponding to the NER may be trained in advance to obtain an entity or concept included in the service data to be audited, for example, based on the above example, the model corresponding to the NER may identify named entities including three major classes and seven minor classes. Each piece of information in the to-be-audited business data can be respectively input into the model corresponding to the NER, and entity information contained in the to-be-audited business data is extracted and identified, so that entity or concept related information contained in each piece of information in the to-be-audited business data is obtained.
In addition, the keyword extraction rule may include a plurality of types, such as a natural language processing technique, a graph-based ranking algorithm for text (TextRank algorithm), TF-IDF (Term Frequency-Inverse document Frequency), and the like, and the keyword extraction rule may be one or a combination of a plurality of types, and may be specifically set according to an actual situation, which is not limited in this specification.
After the entity information contained in the to-be-audited business data is extracted and identified, the content, the context relationship and the like of each piece of information in the to-be-audited business data can be analyzed, and the association relationship information of the corresponding information is respectively extracted from each piece of information in the to-be-audited business data.
And extracting and identifying the entity information contained in the service data to be audited through a named entity identification model and/or a preset keyword extraction rule, so that the accuracy of the obtained extraction and identification results is improved.
Since the generated to-be-audited service data usually includes privacy information of the user, such as identity information or information data such as identification material, in order to protect privacy of user data or service processing data, after the to-be-audited service data generated by at least one service processing party performing service processing on a target user is acquired, before a first transaction is sent to the block chain, desensitization processing needs to be performed on the to-be-audited service data, which can be specifically realized in the following manner:
determining a service category to which the service data to be audited belongs, and determining a corresponding desensitization rule according to the service category and the service data to be audited;
desensitizing the service data to be audited according to the desensitization rule to generate target service data to be audited;
and performing entity extraction based on the target business data to be audited, and generating the shared business data to be audited according to the incidence relation among the entities in the extraction result.
Specifically, since a plurality of business services can be provided by a business processing party, and a plurality of business categories exist under different business services, and business data to be audited of different business categories may correspond to different desensitization rules, it is necessary to determine the business category to which the business data to be audited belongs, and determine the corresponding desensitization rule according to the business category and the business data to be audited;
after the desensitization rule is determined, desensitization processing can be performed on the service data to be audited according to the desensitization rule to generate target service data to be audited.
For example, the contact information of the target user included in the service data to be audited is: 12345678900, the service category of the service data to be audited is loan service, and it is determined according to the loan service that one desensitization rule corresponding to the service data to be audited is "the fourth to 7 digits of the 11-digit mobile phone number in the contact way are replaced by x", the mobile phone number is 12345678900, and the mobile phone number after desensitization is 123xxxx 8900.
And determining the service category to which the service data to be audited belongs, and determining the corresponding desensitization rule according to the service category and the service data to be audited, so that the accuracy of the desensitization rule corresponding to the determined service data to be audited is higher.
In addition, the block chain further includes at least one service processing party node device, and after the service platform node device obtains the to-be-audited service data generated by at least one service processing party performing service processing on the target user, the to-be-audited service data can be processed to generate shared to-be-audited service data and privacy service data, and the shared to-be-audited service data and the privacy service data are processed respectively aiming at the two types of data, which can be specifically implemented in the following manner:
performing entity extraction based on the service data to be audited, and generating the shared service data to be audited and privacy service data aiming at a target service processing party according to an extraction result;
and sending a second transaction to target service processing side node equipment, wherein the second transaction comprises the shared service data to be audited, the privacy service data and a second digital abstract of the privacy service data, so that the target service processing side node equipment generates a service processing result according to a preset service processing rule.
Further, a service processing result is generated according to a preset service processing rule, namely, the shared service data to be checked is verified based on the first digital abstract, the privacy service data is verified based on the second digital abstract, and after the verification is passed, a service processing result is generated based on the shared service data to be checked and/or the privacy service data.
Further, after sending the second transaction to the target service processing side node device, obtaining a third transaction sent by the target service processing side node device to the block chain, where the third transaction includes the service processing result, and returning the service processing result to the target user.
Specifically, the target business processor is a business processor having the function of viewing and acquiring the private business data, and may be an organization providing loan business for the user or a company providing financial business service for the user, and the like.
Since the generated to-be-audited service data usually contains privacy information of a user, such as identity information or information data such as identity certification material, in order to protect the privacy of user data or service processing data, after entity extraction is performed on the to-be-audited service data to generate shared to-be-audited service data and privacy service data for a target service processing party, a first digital abstract of the shared to-be-audited service data is uploaded to a block chain, and the shared to-be-audited service data, the privacy service data and a second digital abstract of the privacy service data are sent to node equipment of the target service processing party.
After the service platform obtains at least one service processing policy to process the service data to be audited generated by the target user, the service platform usually performs pre-service processing based on the service processing steps preset by the platform and the service data to be audited to generate a service processing result.
For example, the payment platform may process, based on loan application data generated by processing a loan application of a target user by a fund provider, generate loan application data in a preset format (text format), where the loan application data may include data such as identity information, loan amount, loan protocol material, and the like of the target user, so as to perform entity extraction on the loan application data in the preset format.
In addition, after receiving the shared to-be-audited service data, the privacy service data and a second digital abstract of the privacy service data, the target service processor node equipment verifies the shared to-be-audited service data based on the first digital abstract, verifies the privacy service data based on the second digital abstract, and generates a service processing result based on the shared to-be-audited service data and/or the privacy service data after the verification is passed.
According to the above embodiment, the target service processor is a fund provider, and after receiving the shared to-be-verified loan service data, the privacy loan service data and the second digital abstract of the privacy loan service data, the fund provider node equipment verifies the shared to-be-verified loan service data based on the first digital abstract, verifies the privacy loan service data based on the second digital abstract, and after the verification is passed, generates a loan service processing result, that is, a result of loan success or loan failure based on the shared to-be-verified loan service data and/or the privacy loan service data.
After the target service processing side node device generates a service processing result based on the shared to-be-audited service data and/or the privacy service data, the service processing result can be uploaded to a block chain for storage, and a service platform can obtain the service processing result sent by the target service processing side node device to the block chain and return the service processing result to the target user.
The data are transmitted and acquired through the distributed database of the block chain, so that the timeliness of the transmitted data is guaranteed, and the non-tamper property of the transmitted data is guaranteed; in addition, according to the data processing method and apparatus based on the block chain provided by the present specification, privacy isolation is performed on to-be-audited service data generated by performing service processing on a target user by an acquired service processing party, the service data with privacy attributes is only stored in the local of node equipment of the target service data processing party, and the to-be-audited service data without privacy attributes can be publicly shared in a distributed database of the block chain.
And 106, sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by the blockchain consensus.
Specifically, after receiving the first transaction, the block link node adds the data to be linked, which is carried in the first transaction, to a candidate block, and adds the candidate block to a distributed database of the block link under the condition that the candidate block passes consensus verification.
Further, the block chain further includes at least one node device of a service auditor, the service auditor performs compliance audit on the service platform through data uploaded to the block chain by the service platform, but before the service auditor obtains the data uploaded by the service platform, the service auditor needs to perform identity verification, which can be specifically implemented in the following manner:
receiving an inspection request submitted by a service auditor for shared service data to be audited, wherein the inspection request carries the identity identification information of the service auditor;
verifying the identity identification information of the service auditor according to at least one identity identification information pre-stored in a database;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
Specifically, under the condition that an examination request submitted by a service auditor for sharing service data to be audited is received, identity identification information of the service auditor is obtained, the identity identification information of the service auditor is compared with at least one identity identification information prestored in a database so as to verify the identity identification information of the service auditor, and when it is determined that one identity identification information prestored in the database is consistent with the identity identification information of the service auditor, namely, the identity identification information of the service auditor is prestored in the database, the verification result of verifying the identity identification information of the service auditor can be determined as passing verification.
Furthermore, one way of performing identity verification on the service auditor is face recognition verification, which can be specifically implemented by the following ways:
receiving an inspection request submitted by a business auditing party for sharing business data to be audited;
acquiring face identification information uploaded by the service auditor based on the face verification instruction;
verifying the data access authority of the service auditor according to the face identification information;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
Specifically, under the condition of receiving an inspection request submitted by a business auditor for sharing the business data to be audited, a face verification instruction is sent to the business auditor, and acquiring face identification information uploaded by the service auditor based on the face verification instruction, determining whether the service auditor has access authority of the shared service data to be audited based on the face identification information, namely, the face identification information of the business auditor is compared with at least one face identification information pre-stored in a database, one face recognition information pre-stored in the determination database is consistent with the face recognition information of the service auditor, namely, under the condition that the face identification information of the service auditor is stored in the database in advance, and determining that the verification result of the verification of the face identification information of the service auditor is verification passing.
And under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
In a specific implementation, the digital digest query is performed based on the certificate storage record of the shared to-be-verified service data carried in the verification request to respond to the verification request, and the digital digest query may be specifically implemented in the following manner:
generating a third digital abstract based on the shared service data to be audited;
inputting the certificate storage record of the shared service data to be checked carried in the checking request into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage;
and comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared service data to be checked and returning the checking result.
Specifically, because the block chain has the characteristics of data disclosure, non-falsification and the like, in the process of performing compliance audit on the service processing party or the service platform by the service audit party, if the business data to be audited provided by the business processor or the business platform needs to be checked for change, the checking request can be sent to the block link point, the checking request carries the shared service data to be checked and the storage record, the block link point generates a third digital abstract based on the shared service data to be checked, inputting the certificate storage record into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage, comparing the first digital abstract with the third digital abstract, obtaining a checking result, and if the verified first digital abstract is the same as the third digital abstract, determining that the shared service data to be checked is not modified; and if the certified first digital abstract is different from the certified third digital abstract, the shared service data to be certified is modified.
And under the condition that the shared service data to be audited is determined not to be tampered, performing compliance audit on the service platform or the service processor by combining audit information and the shared service data to be audited, wherein the audit information is external supervision information and comprises preset service audit rules and/or service environment data, the preset service audit rules are supervision rules and comprise but are not limited to supervision provisions, policy and regulations and the like, and the service environment data comprises but is not limited to external operation environment data, external supervision environment data, external service feedback data and the like.
In this embodiment of the present specification, the block chain is a federation chain, and the service platform node device, the service processor node device, and the service auditor node device are federation chain member node devices.
Specifically, since the block chain is a federation chain, the corporate link can be increased with the help of judicial links, that is, data in the block chain is stored by the judicial link, and the block chain stores the evidence storage result of the judicial link.
In the embodiment of the specification, each node on the judicial chain can provide an inspection entrance, and the information stored on the judicial chain is public, so that the information is transparent and can not be tampered on the premise of ensuring the privacy of the user, and the judicial effectiveness of the evidence of the related protocol or the evidence is facilitated.
In one embodiment of the present description, to-be-audited service data generated by performing service processing on a target user by at least one service processing policy is acquired, entity extraction is performed based on the to-be-audited service data, shared to-be-audited service data is generated according to an association relationship between entities in an extraction result, and a first transaction is sent to a block chain, where the first transaction includes a first digital digest of the shared to-be-audited service data, so that the first transaction is stored in a distributed database of the block chain after passing block chain consensus verification;
the method and the device realize the utilization of the openness and the non-tamper property of the data in the block chain, upload the service data to be audited to the block chain in the mode, and are favorable for ensuring the stability and the credibility of the uplink service data to be audited in the process of performing compliance audit on a service processor or a service platform according to the service data to be audited.
The following will further describe the block chain-based data processing method with reference to fig. 2 by taking an application of the block chain-based data processing method provided in this specification in a fund transaction scenario as an example. Fig. 2 shows a processing flow chart of a data processing method based on a blockchain according to an embodiment of the present specification, and specific steps include step 202 to step 224.
Step 202, the service platform node device obtains fund transaction service data to be audited, which is generated by at least one service processing policy for performing fund transaction service processing on a target user.
And 204, determining the business category to which the to-be-audited fund transaction business data belongs, and determining a corresponding desensitization rule according to the business category and the to-be-audited fund transaction business data.
And step 206, desensitizing the fund transaction service data to be audited according to the desensitization rule to generate target fund transaction service data to be audited.
And 208, performing entity extraction based on the fund transaction service data to be audited, and generating the shared fund transaction service data to be audited and the private fund transaction service data aiming at the target fund transaction service processor according to an extraction result.
Step 210, sending a first transaction to the blockchain, where the first transaction includes a first digital summary of the shared fund transaction service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
Step 212, sending a second transaction to the target fund transaction service processor node device, where the second transaction includes the shared to-be-audited fund transaction service data, the private fund transaction service data, and a second digital summary of the private fund transaction service data, so that the target fund transaction service processor node device generates a fund transaction service processing result according to a preset service processing rule.
Specifically, the shared to-be-audited fund transaction service data is verified based on the first digital abstract, the private fund transaction service data is verified based on the second digital abstract, and after verification is passed, a fund transaction service processing result is generated based on the shared to-be-audited fund transaction service data and/or the private fund transaction service data.
And sending a third transaction to the blockchain by the target service processor node, wherein the third transaction comprises the service processing result, and the service platform acquires the fund transaction service processing result and returns the fund transaction service processing result to the target user.
In step 214, the node device of the service auditor receives the check request submitted by the service auditor for the shared fund transaction service data to be audited.
And step 216, acquiring the face identification information uploaded by the service auditor based on the face verification instruction.
And step 218, verifying the data access authority of the service auditor according to the face identification information.
And step 220, under the condition that the verification is passed, generating a third digital abstract based on the shared fund transaction service data to be audited.
Step 222, inputting the deposit certificate record of the shared fund transaction service data to be audited carried in the checking request into a deposit certificate query interface, and obtaining a first digital abstract of the deposit certificate.
And 224, comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared fund transaction service data to be checked, and returning.
One embodiment of the present specification utilizes the openness and non-tamper property of data in a block chain, and uploads shared to-be-audited fund transaction service data to the block chain in this way, and is beneficial to ensuring the stability and reliability of uplink shared to-be-audited fund transaction service data in the process of performing compliance audit on a service processor or a service platform according to the shared to-be-audited fund transaction service data.
Corresponding to the above method embodiment, this specification further provides an embodiment of a data processing apparatus based on a block chain, and fig. 3 illustrates a schematic structural diagram of a data processing apparatus based on a block chain according to an embodiment of this specification. As shown in fig. 3, the apparatus includes:
an obtaining module 302, configured to obtain to-be-audited service data generated by at least one service processing policy for performing service processing on a target user;
an extraction module 304, configured to perform entity extraction based on the to-be-audited service data, and generate shared to-be-audited service data according to an association relationship between entities in an extraction result;
a storage module 306 configured to send a first transaction to the blockchain, where the first transaction includes a first digital summary of the shared to-be-audited business data, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
Optionally, the data processing apparatus based on a blockchain further includes:
the data generation module is configured to perform entity extraction based on the to-be-audited business data and generate the shared to-be-audited business data and the privacy business data aiming at the target business processor according to an extraction result;
and the result generation module is configured to send a second transaction to the target service processor node device, where the second transaction includes the shared to-be-audited service data, the privacy service data, and a second digital abstract of the privacy service data, so that the target service processor node device generates a service processing result according to a preset service processing rule.
Optionally, the data processing apparatus based on a blockchain further includes:
the system comprises a first request receiving module, a first verification module and a second verification module, wherein the first request receiving module is configured to receive an inspection request submitted by a service verifier for sharing service data to be verified, and the inspection request carries identity identification information of the service verifier;
the verification module is configured to verify the identity information of the service auditor according to at least one identity information pre-stored in a database;
and the first query module is configured to perform digital abstract query based on the certification record of the shared service data to be audited carried in the verification request to respond to the verification request under the condition that the verification is passed.
Optionally, the data processing apparatus based on a blockchain further includes:
the second request receiving module is configured to receive an inspection request submitted by a business auditor for the shared business data to be audited;
the face identification information acquisition module is configured to acquire face identification information uploaded by the service auditor based on a face verification instruction;
the authority verification module is configured to verify the data access authority of the service auditor according to the face identification information;
and the second query module is configured to perform digital abstract query based on the certificate storage record of the shared service data to be audited carried in the verification request to respond to the verification request under the condition that the verification is passed.
Optionally, the first query module is further configured to:
generating a third digital abstract based on the shared service data to be audited;
inputting the certificate storage record of the shared service data to be checked carried in the checking request into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage;
and comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared service data to be checked and returning the checking result.
Optionally, the second query module is further configured to:
generating a third digital abstract based on the shared service data to be audited;
inputting the certificate storage record of the shared service data to be checked carried in the checking request into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage;
and comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared service data to be checked and returning the checking result.
Optionally, the data processing apparatus based on a blockchain further includes:
the rule determining module is configured to determine a service category to which the service data to be audited belongs, and determine a corresponding desensitization rule according to the service category and the service data to be audited;
the data processing module is configured to perform desensitization processing on the service data to be audited according to the desensitization rule to generate target service data to be audited;
and the entity extraction module is configured to extract entities based on the target business data to be audited and generate the shared business data to be audited according to the incidence relation among the entities in the extraction result.
Optionally, the extracting module 304 includes:
the identification submodule is configured to extract and identify entity information contained in the to-be-audited business data through a named entity identification model and/or a preset keyword extraction rule, and acquire incidence relation information between entities corresponding to the entity information from the to-be-audited business data;
and the data generation submodule is configured to generate the shared business data to be audited according to the incidence relation information between the entities corresponding to the entity information.
Optionally, the result generating module includes:
and the result generation submodule is configured to verify the shared to-be-verified service data based on the first digital abstract, verify the privacy service data based on the second digital abstract, and generate a service processing result based on the shared to-be-verified service data and/or the privacy service data after the verification is passed.
Optionally, the data processing apparatus based on a blockchain further includes:
and the transaction acquisition module is configured to acquire a third transaction sent to the blockchain by the target service processing node device, wherein the third transaction contains the service processing result, and return the service processing result to the target user.
Optionally, the block chain is a federation chain, and the service platform node device, the service processor node device, and the service auditor node device are federation chain member node devices.
The above is a schematic scheme of a data processing apparatus based on a block chain according to this embodiment. It should be noted that the technical solution of the data processing apparatus based on the blockchain belongs to the same concept as the technical solution of the data processing method based on the blockchain, and details of the technical solution of the data processing apparatus based on the blockchain, which are not described in detail, can be referred to the description of the technical solution of the data processing method based on the blockchain.
FIG. 4 illustrates a block diagram of a computing device 400 provided in accordance with one embodiment of the present description. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. Processor 420 is coupled to memory 410 via bus 430 and database 450 is used to store data.
Computing device 400 also includes access device 440, access device 440 enabling computing device 400 to communicate via one or more networks 460. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. The access device 440 may include one or more of any type of network interface (e.g., a Network Interface Card (NIC)) whether wired or wireless, such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present description, the above-described components of computing device 400, as well as other components not shown in FIG. 4, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device architecture shown in FIG. 4 is for purposes of example only and is not limiting as to the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smartphone), wearable computing device (e.g., smartwatch, smartglasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server.
Wherein processor 420 is configured to execute the following computer-executable instructions:
acquiring to-be-audited service data generated by at least one service processing policy for performing service processing on a target user;
performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result;
and sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
The above is an illustrative scheme of a computing device of the present embodiment. It should be noted that the technical solution of the computing device and the technical solution of the data processing method based on the blockchain belong to the same concept, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the data processing method based on the blockchain.
An embodiment of the present specification also provides a computer readable storage medium storing computer instructions, which when executed by a processor, are used for implementing the steps of the block chain based data processing method.
The above is an illustrative scheme of a computer-readable storage medium of the present embodiment. It should be noted that the technical solution of the storage medium belongs to the same concept as the technical solution of the above data processing method based on the block chain, and details of the technical solution of the storage medium, which are not described in detail, can be referred to the description of the technical solution of the above data processing method based on the block chain.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The computer instructions comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, or the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts, but those skilled in the art should understand that the present embodiment is not limited by the described acts, because some steps may be performed in other sequences or simultaneously according to the present embodiment. Further, those skilled in the art should also appreciate that the embodiments described in this specification are preferred embodiments and that acts and modules referred to are not necessarily required for an embodiment of the specification.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the embodiments. The specification is limited only by the claims and their full scope and equivalents.

Claims (13)

1. A method of data processing based on a blockchain, the blockchain including service platform node devices, the method comprising:
the service platform node equipment acquires at least one service processing policy to process the service of a target user to generate service data to be audited;
performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result;
and sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
2. The blockchain-based data processing method of claim 1, the blockchain further comprising at least one traffic processor node device, the method further comprising:
performing entity extraction based on the service data to be audited, and generating the shared service data to be audited and privacy service data aiming at a target service processing party according to an extraction result;
and sending a second transaction to target service processing side node equipment, wherein the second transaction comprises the shared service data to be audited, the privacy service data and a second digital abstract of the privacy service data, so that the target service processing side node equipment generates a service processing result according to a preset service processing rule.
3. The blockchain-based data processing method of claim 1, the blockchain further comprising at least one traffic auditor node device, the method further comprising:
receiving an inspection request submitted by a service auditor for shared service data to be audited, wherein the inspection request carries the identity identification information of the service auditor;
verifying the identity identification information of the service auditor according to at least one identity identification information pre-stored in a database;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
4. The blockchain-based data processing method of claim 1, the blockchain further comprising at least one traffic auditor node device, the method further comprising:
receiving an inspection request submitted by a business auditing party for sharing business data to be audited;
acquiring face identification information uploaded by the service auditor based on the face verification instruction;
verifying the data access authority of the service auditor according to the face identification information;
and under the condition that the verification is passed, performing digital abstract query on the basis of the certificate storage record of the shared service data to be verified carried in the verification request so as to respond to the verification request.
5. The method according to claim 3 or 4, wherein the performing a digital digest query based on the certificate record of the shared to-be-verified service data carried in the verification request to respond to the verification request includes:
generating a third digital abstract based on the shared service data to be audited;
inputting the certificate storage record of the shared service data to be checked carried in the checking request into a certificate storage inquiry interface to obtain a first digital abstract of the certificate storage;
and comparing the first digital abstract with the third digital abstract, outputting a checking result of the shared service data to be checked and returning the checking result.
6. The blockchain-based data processing method according to claim 1, further comprising, after the obtaining of the to-be-audited service data generated by the at least one service processing policy performing service processing on the target user and before the sending of the first transaction to the blockchain:
determining a service category to which the service data to be audited belongs, and determining a corresponding desensitization rule according to the service category and the service data to be audited;
desensitizing the service data to be audited according to the desensitization rule to generate target service data to be audited;
and performing entity extraction based on the target business data to be audited, and generating the shared business data to be audited according to the incidence relation among the entities in the extraction result.
7. The block chain-based data processing method according to claim 1, wherein the extracting of the entities based on the service data to be audited and the generating of the shared service data to be audited according to the association relationship between the entities in the extraction result include:
extracting and identifying entity information contained in the service data to be audited through a named entity identification model and/or a preset keyword extraction rule, and acquiring incidence relation information between entities corresponding to the entity information from the service data to be audited;
and generating the shared service data to be audited according to the incidence relation information between the entities corresponding to the entity information.
8. The blockchain-based data processing method according to claim 2, wherein the generating a service processing result according to a preset service processing rule includes:
and verifying the shared to-be-verified service data based on the first digital abstract, verifying the privacy service data based on the second digital abstract, and generating a service processing result based on the shared to-be-verified service data and/or the privacy service data after the verification is passed.
9. The blockchain-based data processing method of claim 8, further comprising:
and acquiring a third transaction sent to the block chain by the target service processing party node equipment, wherein the third transaction comprises the service processing result, and returning the service processing result to the target user.
10. The blockchain-based data processing method of claim 1, wherein the blockchain is a federation chain, and the service platform node device, the service processor node device, and the service auditor node device are federation chain member node devices.
11. A data processing apparatus based on a blockchain, the blockchain comprising service platform node devices, the apparatus comprising:
the acquisition module is configured to acquire to-be-audited business data generated by business processing of at least one business processing policy on a target user;
the extraction module is configured to extract entities based on the business data to be audited and generate shared business data to be audited according to the incidence relation among the entities in the extraction result;
the storage module is configured to send a first transaction to the blockchain, wherein the first transaction comprises a first digital summary of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
12. A computing device, comprising:
a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
the service platform node equipment acquires at least one service processing policy to process the service of a target user to generate service data to be audited;
performing entity extraction based on the service data to be audited, and generating shared service data to be audited according to the incidence relation among the entities in the extraction result;
and sending a first transaction to the blockchain, wherein the first transaction comprises a first digital abstract of the shared service data to be audited, so that the first transaction is stored in a distributed database of the blockchain after being verified by blockchain consensus.
13. A computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of the blockchain based data processing method of any one of claims 1 to 10.
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CN110009339A (en) * 2018-12-29 2019-07-12 阿里巴巴集团控股有限公司 Data processing method and device based on block chain
CN109981588A (en) * 2019-02-27 2019-07-05 四川享宇金信金融科技有限公司 A kind of data trade method for processing business and system based on block chain
CN110175913A (en) * 2019-04-12 2019-08-27 阿里巴巴集团控股有限公司 Data processing system, method, calculating equipment and storage medium based on block chain
CN110135844A (en) * 2019-04-28 2019-08-16 阿里巴巴集团控股有限公司 Credit record, querying method and device and electronic equipment based on block chain
CN110363527A (en) * 2019-06-26 2019-10-22 阿里巴巴集团控股有限公司 Card, monitoring and managing method and device are deposited based on block chain
CN110597885A (en) * 2019-09-23 2019-12-20 腾讯科技（深圳）有限公司 Information processing method, device, node of block chain network and storage medium
CN110599322A (en) * 2019-09-24 2019-12-20 腾讯科技（深圳）有限公司 Data auditing method and device based on block chain network
CN111178840A (en) * 2019-12-27 2020-05-19 支付宝实验室(新加坡)有限公司 Service processing method, device, system, electronic equipment and storage medium
CN111340477A (en) * 2020-02-07 2020-06-26 支付宝实验室(新加坡)有限公司 Service processing method and device, electronic equipment and storage medium
CN111310137A (en) * 2020-03-23 2020-06-19 杭州溪塔科技有限公司 Block chain associated data evidence storing method and device and electronic equipment
CN111192146A (en) * 2020-04-10 2020-05-22 支付宝(杭州)信息技术有限公司 Correction method and device for block chain data

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CN112181922A (en) * 2020-10-22 2021-01-05 中山大学 Block chain data sharing method, system, device and medium
CN112181922B (en) * 2020-10-22 2023-10-03 中山大学 Block chain data sharing method, system, device and medium
CN112434331A (en) * 2020-11-20 2021-03-02 百度在线网络技术（北京）有限公司 Data desensitization method, device, equipment and storage medium
CN112434331B (en) * 2020-11-20 2023-08-18 百度在线网络技术（北京）有限公司 Data desensitization method, device, equipment and storage medium
CN114598693A (en) * 2020-12-07 2022-06-07 国家广播电视总局广播电视科学研究院 File content auditing method and device and electronic equipment
CN114598693B (en) * 2020-12-07 2023-11-21 国家广播电视总局广播电视科学研究院 File content auditing method and device and electronic equipment
CN113254979A (en) * 2021-06-26 2021-08-13 环球数科集团有限公司 Credible examination system for protecting business privacy and computer storage medium

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