WO2021203590A1

WO2021203590A1 - Blockchain-based enterprise data processing method and apparatus, device, and storage medium

Info

Publication number: WO2021203590A1
Application number: PCT/CN2020/106049
Authority: WO
Inventors: 赵达悦; 王梦寒
Original assignee: 深圳壹账通智能科技有限公司
Priority date: 2020-04-08
Filing date: 2020-07-31
Publication date: 2021-10-14
Also published as: CN111553710A; CN111553710B

Abstract

A blockchain-based enterprise data processing method and apparatus, a device, and a storage medium. Said method comprises: acquiring, from a corresponding node of a blockchain, enterprise data to be authenticated, comprising original data and first label data calculated by an authentication subject (S202); querying a confidence degree corresponding to the authentication subject, and determining whether the confidence degree is less than a preset value (S204); when the confidence degree is not less than the preset value, acquiring a current smart contract and a historical smart contract from the corresponding node of the blockchain (S206); determining a difference clause according to the current smart contract and the historical smart contract, calculating, according to the original data, second label data corresponding to the difference clause, and authenticating the second label data according to the difference clause (S208); according to the second label data passing the authentication, the second label data not passing the authentication, and the first label data, performing calculation to obtain a passing rate of data to be authenticated (S210); when the passing rate of data to be authenticated is greater than a standard passing rate, determining that the enterprise data to be authenticated passes the authentication (S212).

Description

Block chain-based enterprise data processing method, device, equipment and storage medium

Cross-references to related applications

This application requires the priority of a Chinese patent application filed with the Chinese Patent Office on April 8, 2020, the application number is 2020102696569, and the application name is "Blockchain-based enterprise data processing methods, devices, equipment, and storage media". The entire content is incorporated into this application by reference.

Technical field

This application relates to the field of big data processing technology, in particular to a blockchain-based enterprise data processing method, device, equipment and storage medium.

Background technique

The AEO certification of enterprises by the customs is a very important means of trade facilitation. Enterprises that have obtained advanced certification can obtain a series of preferential policies for rapid customs clearance, such as a lower inspection rate. Because cross-border trade business will involve at least two countries, countries expect to help high-quality companies to obtain local customs clearance policies in countries other than their own countries through the mutual recognition of AEO certification.

However, the inventor realizes that the current mutual recognition of AEO can only be accomplished through mutual recognition between customs, and all enterprise data needs to be processed during certification, which results in low efficiency.

Summary of the invention

According to various embodiments disclosed in the present application, a blockchain-based enterprise data processing method, device, equipment, and storage medium are provided.

A blockchain-based enterprise data processing method, including:

Obtain the enterprise data to be authenticated from the corresponding node of the blockchain, the enterprise data to be authenticated by the authentication subject includes original data and first label data, and the first label data is the first label data calculated by the authentication subject on the original data;

Query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

When the credibility is greater than or equal to the preset value, the current smart contract and the verified historical smart contract of the authentication subject corresponding to the enterprise data to be authenticated are obtained from the corresponding node of the blockchain ；

Query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the second label corresponding to the difference terms based on the original data Data, and authenticate the second label data through the difference clause;

Calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data authentication of the enterprise to be authenticated has passed.

A blockchain-based enterprise data processing device, including:

The data acquisition module of the enterprise to be authenticated is used to obtain the data of the enterprise to be authenticated from the corresponding node of the blockchain. The enterprise data to be authenticated includes original data and first label data, and the first label data is calculated by the authentication subject on the original data First label data, the enterprise data to be authenticated includes original data and first label data, and the first label data is the first label data calculated by the authentication subject on the original data;

The first query module is configured to query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

The first smart contract acquisition module is used to obtain the current smart contract and the certified enterprise data corresponding to the enterprise data to be certified from the corresponding node of the blockchain when the credibility is greater than or equal to the preset value. The historical smart contract of the authentication subject;

The second query module is used to query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the The second label data corresponding to the difference clause, and the second label data is authenticated through the difference clause;

The authentication module is configured to calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and

The output module is configured to determine that the data of the enterprise to be authenticated has passed the authentication when the pass rate to be authenticated is greater than the preset reference pass rate.

A computer device, including a memory and one or more processors, the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the one or more processors execute The following steps:

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.

One or more computer-readable storage media storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors perform the following steps:

The above-mentioned blockchain-based enterprise data processing methods, devices, equipment and storage media can realize different customs authentication processing of data by uploading data to the blockchain, and the authentication processing can be based on the current smart contract The comparison with the historical smart contract obtains the difference clause, and only the data of the enterprise to be certified is authenticated through the difference clause, which can reduce the amount of data processing and improve the processing efficiency.

The details of one or more embodiments of the present application are set forth in the following drawings and description. Other features and advantages of this application will become apparent from the description, drawings and claims.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. A person of ordinary skill in the art can obtain other drawings based on these drawings without creative work.

Fig. 1 is an application scenario diagram of a blockchain-based enterprise data processing method according to one or more embodiments.

Fig. 2 is a schematic flowchart of a blockchain-based enterprise data processing method according to one or more embodiments.

Fig. 3 is a structural block diagram of a blockchain-based enterprise data processing device according to one or more embodiments.

Figure 4 is a block diagram of a computer device according to one or more embodiments.

Detailed ways

In order to make the technical solutions and advantages of the present application clearer, the following further describes the present application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

The blockchain-based enterprise data processing method provided in this application can be applied to the application environment as shown in FIG. 1. Among them, the blockchain 102 communicates with the server 104 through the network. The server 104 can obtain the enterprise data to be authenticated from the blockchain 102. The enterprise data to be authenticated includes the original data and the first label data calculated by the authentication subject, so that the server 104 can query the authentication subject's corresponding data. Reliability, and determine whether the credibility is less than the preset value. When the credibility is greater than or equal to the preset value, the current smart contract and the certified enterprise data corresponding to the enterprise data to be certified are obtained from the corresponding node of the blockchain. The historical smart contract of the authentication subject; query the same terms corresponding to the current smart contract and the historical smart contract, and determine the difference clause in the current smart contract based on the same terms, calculate the second label data corresponding to the difference clause based on the original data, and pass the difference Clause authenticates the second tag data; thus, the server 104 calculates the pass rate to be authenticated according to the second tag data that has passed the authentication, the second tag data that has not passed the authentication, and the first tag data; when the pass rate to be authenticated is greater than the preset When referring to the pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication. In the above method, the original data and the first label data are uploaded on the blockchain. The first label data is the data verified by the authentication subject, and when the authenticity of the authentication subject is not less than the preset value, the server will not This part of the data needs to be re-authenticated to improve efficiency, and by uploading the data to the blockchain, different customs can realize the authentication processing of the data, and during the authentication processing, it can be based on the current smart contract and historical intelligence. The comparison of the contract obtains the difference clause, and only the data of the enterprise to be certified is authenticated through the difference clause, which can reduce the amount of data processing and improve the processing efficiency. Among them, the server 104 may be implemented by an independent server or a server cluster composed of multiple servers. The above-mentioned blockchain-based enterprise data processing method can be applied to cross-border trade business scenarios, but is not limited to cross-border trade business scenarios, and can be other scenarios that require cross-border security verification.

In one of the embodiments, as shown in Figure 2, a blockchain-based enterprise data processing method is provided. Taking the method applied to the server in Figure 1 as an example for description, the method includes the following steps:

S202: Obtain the enterprise data to be authenticated from the corresponding node of the blockchain. The enterprise data to be authenticated includes original data and first label data. The first label data is the first label data calculated from the original data by the authentication subject.

Specifically, the data of the enterprise to be authenticated may include the original data and the first label data calculated by the authentication subject. The original data is data used for AEO authentication, which may include the role of the buyer, seller, logistics company, etc. in cross-border trade business. The relevant business data generated by the process and the single type of data that can be uploaded to the blockchain by the customs of the supervisor: The first type is the result of the daily customs clearance of the above-mentioned enterprises. The second category is the historical customs clearance statistics of AEO certified companies, such as the company's product inspection and quarantine pass rate, foreign notifications, returns, recalls, claims, whether there are forged or altered certificates, etc. The third category is the AEO certification process (such as various management documents, program documents, training documents, financial reports and audit reports within the enterprise) and result data. Specifically, it can refer to the number of violations of customs supervision regulations in a year; the total number of tickets in the previous year's customs declaration, entry and exit filing list, entry and exit transportation means manifest and other related documents. The certification body refers to the authoritative certification body that performs AEO certification on the original data, such as the country. The first label data is obtained by processing the original data according to the smart contract corresponding to the authentication subject, and for convenience, the first label data specifically refers to the label data authenticated by the smart contract corresponding to the authentication subject. For example, the first label data is based on The data required by the data rules in the smart contract, so that the first label data can be obtained by processing the original data, and then the first label data is authenticated through the smart contract, and both the authenticated and the unauthenticated are marked Therefore, when the server obtains it, it only needs to obtain the first label data that has passed the authentication.

S204: Query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value.

Specifically, credibility refers to the credibility of a certain certification subject at another certification subject, for example, the credibility of country A in country B. The preset value is set by each authentication subject. If one authentication subject is credible, its credibility is 100%; otherwise, it can be sorted according to the credibility. The credibility of the corresponding authentication subject is stored in the server, and the authentication subject corresponds to the blockchain node. One authentication subject can correspond to multiple blockchain nodes, which is convenient for the enterprises under the authentication subject to upload to be authenticated in a distributed manner. For enterprise data, after the server determines the corresponding blockchain node, the corresponding authentication subject is determined, so that the corresponding credibility of the authentication subject can be inquired.

S206: When the credibility is greater than or equal to the preset value, obtain the current smart contract and the historical smart contract of the authenticated subject corresponding to the enterprise data to be authenticated from the corresponding node of the blockchain.

Specifically, the customs of various countries compile the standards into smart contracts based on their own AEO certification standards and publish them on the blockchain network. Assuming that this certification is the customs of country A, the customs of country A obtains the current smart contract corresponding to the customs of country A from the blockchain. Then, the customs of country A can also obtain the historical smart contract corresponding to the customs that the company to be certified has passed verification, such as the smart contract of the customs of country B. For example, the company to be certified may be a company in country B, which has passed the certification of the customs of country B, but has not yet passed the certification of the customs of country A.

S208: Query the same terms corresponding to the current smart contract and the historical smart contract, and determine the difference terms in the current smart contract based on the same terms, calculate the second label data corresponding to the difference terms based on the original data, and compare the second label through the difference terms Data is authenticated.

Specifically, after the smart contract is uploaded to the blockchain, the server can calculate the relationship between the uploaded smart contract and other smart contracts, that is, determine whether there are identical terms, and mark if there are identical terms. In this way, when the server finds the current smart contract and the historical smart contract that has been authenticated, the server can determine the same terms based on the previous annotations, and thus determine the difference terms based on the same terms.

After obtaining the difference clause, the server authenticates the data of the enterprise to be authenticated according to the data processing rules corresponding to the difference clause, including processing the data of the enterprise to be authenticated through the data processing rules to obtain the second label data, and then judges whether the second label data meets the requirements The data processing rule is used to authenticate the second tag data.

S210: Calculate the to-be-authenticated pass rate according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data.

Specifically, the server may count the number of second tag data that do not meet the data processing rule corresponding to the difference clause, the number of second tag data that meets the data processing rule, and the number of first tag data, and calculate the authentication pass rate, that is, Authentication pass rate = (number of first label data + number of second label data passed authentication)/(number of first label data + number of second label data obtained without authentication + number of second label data passed authentication Number), so that the server can determine whether the enterprise data to be authenticated passes the authentication according to the pass rate of authentication.

S212: When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication.

Specifically, the standard pass rate refers to the corresponding standard pass rate when the credibility is greater than the preset value. When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication, that is, the AEO is completed. Certified by other countries.

The above-mentioned blockchain-based enterprise data processing method can realize different customs authentication processing of data by uploading data to the blockchain, and during the authentication processing, it can be based on the comparison of the current smart contract with the historical smart contract When the difference clause is obtained, the data of the enterprise to be certified can be authenticated only through the difference clause, which can reduce the amount of data processing and improve processing efficiency.

In one of the embodiments, the above-mentioned blockchain-based enterprise data processing method may further include: when the credibility is less than a preset value, obtaining the current smart contract from the corresponding node of the blockchain; according to the original data and the current The smart contract calculates the third label data, and authenticates the third label data through the current smart contract; calculates the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication; the acquisition is less than the preset The credibility of the value corresponds to the reference pass rate; when the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication.

Specifically, each authentication subject may first determine the corresponding data tag according to the smart contract, then process the original data based on the data tag to obtain the corresponding tag data, and finally upload the original data and the first tag data to the blockchain together.

When the server judges that the credibility is less than the preset value, that is, when the authentication subject is an untrusted authentication subject, the server obtains the current smart contract from the corresponding node of the blockchain; calculates the third tag data based on the original data and the current smart contract , And authenticate the third tag data through the current smart contract, which means that the server recalculates the third tag data according to the current smart contract and the original data, instead of using the first tag data, and compares it with the current smart contract. The clauses are compared to obtain the pass rate to be authenticated for the clauses, and the adjusted reference pass rate corresponding to the credibility of the authentication subject is obtained. If the pass rate to be authenticated is lower than the reference pass rate, the result of authentication failure is output. Otherwise, the authentication is successful.

In the above embodiment, if the credibility of the authentication subject is reduced, the standard pass rate needs to be increased to obtain the adjusted reference pass rate, otherwise the normal processing can be performed. This can improve the accuracy of processing.

In one of the embodiments, the way to adjust the credibility includes: periodically acquiring the enterprise data to be authenticated of the enterprise that has been authenticated in history, and extracting the first label data from the enterprise data to be authenticated; and judging whether there is a data associated with the enterprise in the blockchain. If the third label data corresponding to the enterprise data to be authenticated does not exist, the third label data is calculated according to the original data in the enterprise data to be authenticated and the current smart contract; the credibility is determined according to the first label data and the third label data.

In one of the embodiments, the method for generating the reference pass rate includes: judging whether the credibility is less than the preset value; when the credibility is less than the preset value, obtain the standard pass rate, and adjust the standard pass rate to obtain the reference pass rate .

Specifically, the server may periodically obtain the certified enterprise data to be authenticated, including those that have passed the authentication and those that have not passed the authentication, as well as those whose credibility is greater than a preset value and that whose credibility is not greater than a preset value and credibility. It is 100%. The server extracts the first label data from the enterprise data to be authenticated; judges whether there is third label data corresponding to the enterprise data to be authenticated in the blockchain, where the third label data refers to the country’s Speaking of the third label data calculated by the current smart contract, if it is the enterprise data to be authenticated corresponding to the authentication subject whose credibility is less than the preset value, it has already been calculated, that is, the third label data above, otherwise, you need to The server performs calculations to obtain the third tag data, and then the server determines the credibility according to the first tag data and the third tag data, for example, by comparing the first tag data and the third tag data to determine the availability of the country corresponding to the company to be authenticated Reliability, (credibility = the number of data with the same third tag data and the first tag data/the number of data in the first tag data); if the credibility is less than the preset value, increase the authentication subject’s The audit standard of the enterprise to be certified is the reference pass rate mentioned above, which is originally the standard pass rate, but if the credibility of the certification body decreases, the standard pass rate needs to be increased to obtain the adjusted pass rate; otherwise It can be handled as normal. Optionally, increasing the standard passing rate to obtain the reference passing rate can be: obtaining the reduced value of the credibility, and then obtaining the reduced credibility according to the correspondence between the preset credibility step size and the passing rate step size Adjust the step size of the pass rate corresponding to the value, and then adjust the standard pass rate according to the pass rate to adjust the standard pass rate to obtain the reference pass rate. This can improve the accuracy of processing.

In the above embodiment, the credibility is periodically determined to adjust the standard pass rate, which can improve the accuracy of processing.

In one of the embodiments, obtaining the data of the enterprise to be authenticated from the corresponding node of the blockchain includes: obtaining the data of the enterprise to be authenticated after homomorphic encryption from the corresponding node of the blockchain; judging whether the data of the enterprise to be authenticated exists in the local database Corresponding decryption key; if there is no corresponding decryption key, mark that there is no decryption key information to the enterprise data to be authenticated; calculate the second label data corresponding to the difference clause based on the original data, and pair it with the difference clause The authentication of the second label data includes: calculating the second label data based on the original data and the difference clause supported by the zero-knowledge proof technology, and authenticating the second label data through the difference clause.

The above-mentioned enterprise data to be authenticated are all in an encrypted state, that is, if it is authenticated in China, it will be authenticated in plain text, but if it is overseas, in order to protect data sovereignty, it needs to be authenticated in cipher text, including: The data of the enterprise to be authenticated obtained by the corresponding node of the blockchain is the data of the enterprise to be authenticated after homomorphic encryption is obtained from the corresponding node of the blockchain, and it is judged whether there is a decryption key corresponding to the data of the enterprise to be authenticated in the local database. , Decrypt the homomorphically encrypted enterprise data to be authenticated by the decryption key to obtain the plaintext. If there is no decryption key, mark that there is no decryption key information to the enterprise data to be authenticated, so that in the case of ciphertext Perform authentication. Therefore, to authenticate the data of the enterprise to be authenticated through the data processing rules corresponding to the difference clauses is to use the data processing rules corresponding to the difference clauses in the smart contract supported by the zero-knowledge proof technology to homomorphically encrypt the data. The data of the enterprise to be authenticated is authenticated.

Among them, all uploaded business data bear the electronic signature of the uploader.

All data is encrypted (using a homomorphic encryption algorithm) before being uploaded to the blockchain and synchronized to other nodes. The encrypted key is stored in the data owner's own node and will not be automatically synchronized to other nodes. However, if necessary and in compliance with relevant policies and regulations, each participant can authorize the decryption key corresponding to the ciphertext data to other nodes, so that other nodes can read the plaintext data. For example, a company can authorize the decryption key of cross-border trade data to the customs of the country, that is, the plaintext can be obtained within the country.

Specifically, the data on the corresponding node of the above-mentioned blockchain needs to be uploaded to the blockchain in advance by each enterprise. The uploading method can be manual entry, or it can be connected to ERP or other local business management systems through system docking. The data is automatically synchronized to the blockchain.

Specifically, the manual entry method is to use a custom-developed application system. After data is entered, the application system will call the above-mentioned upper link port; the system docking method means that the user's own system directly calls the above-mentioned upper link port. Among them, calling the link port is to encrypt and link the data, and it can be electronically signed when uploading.

The customs of country A can obtain the ciphertext trade data uploaded by the AEO advanced certification company of country B on the chain, and can also obtain the statistical data, certification process data, and certification of the company in the ciphertext state given by the customs of country B to the company result. Because the encryption uses a homomorphic encryption algorithm, the smart sum and AND supported by the zero-knowledge proof technology can be used to determine whether the country B enterprise meets the AEO advanced certification standard of the country A customs.

In the foregoing embodiment, all enterprise data to be authenticated are authenticated in an encrypted state, which can improve data security.

In one of the embodiments, before obtaining the enterprise data to be authenticated from the corresponding node of the blockchain, the method further includes: receiving an authentication request sent by the enterprise terminal, the authentication request carrying an authentication subject identifier; and querying whether the authentication subject corresponding to the authentication subject identifier is trusted Authentication subject: When the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise terminal passes the authentication.

Specifically, before obtaining the data of the enterprise to be authenticated from the corresponding node of the blockchain, the method further includes: receiving an authentication request sent by the enterprise, the authentication request carrying an authentication subject identification, and querying whether the authentication subject corresponding to the authentication subject identification is a trusted authentication subject When the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise passes the authentication. When the authentication subject corresponding to the authentication subject identification is not a trusted authentication subject, then obtain the blockchain node corresponding to the enterprise and the blockchain node corresponding to the authentication subject corresponding to the enterprise, and continue to correspond from the blockchain The node obtains the data of the enterprise to be authenticated.

The certification subject refers to the country, and different countries are different certification subjects. For example, country A and country B are directly trusted between the two countries, then the AEO advanced certification company in country A, and country B directly believes, will also become country B’s AEO advanced certification. This is the trust of the certification subject, and the country believes in the country. Country A and Country C have no trust between the two countries, so they will use zero-knowledge proof to prove to country C the judgment indicators they are concerned about. If the A company in country A is satisfied, then country C will regard company A as C The country’s AEO advanced certification company trusts not the country A, but the data and judgment results shared in ciphertext.

In the foregoing embodiment, when the authentication subject is a trusted authentication subject, the AEO authentication is directly passed, which improves efficiency.

In one of the embodiments, the above-mentioned blockchain-based business data processing method may further include: judging whether there is a new smart contract on the blockchain; when there is a new smart contract, judging whether the new smart contract is related to the existing one Whether there are the same terms in the smart contract; when there are the same terms, the same terms are marked.

Specifically, when there is a new smart contract on the blockchain, the server determines whether the new smart contract and the existing smart contract have the same terms, and when the same terms exist, the same terms are marked. The way of labeling is a smart contract ac clause-b smart contract bm clause.

In the above embodiment, when there will be a new smart contract in the blockchain, it is determined in advance whether there are identical clauses and annotated, so as to facilitate the acquisition of subsequent differing clauses and improve processing efficiency.

It should be understood that although the various steps in the flowchart of FIG. 2 are displayed in sequence as indicated by the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless specifically stated in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least part of the steps in FIG. 2 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution of these sub-steps or stages The sequence is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

In one of the embodiments, as shown in FIG. 3, a blockchain-based enterprise data processing device is provided, including: a data acquisition module 100 for an enterprise to be authenticated, a first query module 200, and a first smart contract acquisition module 300. The second query module 400, the first authentication module 500, and the output module 600, where:

The enterprise data acquisition module 100 to be authenticated is used to obtain enterprise data to be authenticated from the corresponding node of the blockchain. The enterprise data to be authenticated includes original data and first label data, and the first label data is calculated by the authentication subject from the original data The first label data.

The first query module 200 is used to query the credibility of the authentication subject and determine whether the credibility is greater than or equal to a preset value.

The first smart contract obtaining module 300 is used to obtain the current smart contract and the history of the authenticated authentication subject corresponding to the enterprise data to be authenticated from the corresponding node of the blockchain when the credibility is greater than or equal to the preset value Smart contract.

The second query module 400 is used to query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, calculate the second label data corresponding to the difference terms based on the original data, and pass The difference clause authenticates the second label data.

The first authentication module 500 is configured to calculate the pass rate to be authenticated according to the second label data that has passed authentication, the second label data that has not passed authentication, and the first label data.

The output module 600 is configured to determine that the data of the enterprise to be authenticated has passed the authentication when the pass rate to be authenticated is greater than the preset reference pass rate.

In one of the embodiments, the above-mentioned blockchain-based enterprise data processing device may further include:

The second smart contract acquisition module is used to acquire the current smart contract from the corresponding node of the blockchain when the credibility is less than the preset value.

The second authentication module is used to calculate the third tag data based on the original data and the current smart contract, and authenticate the third tag data through the current smart contract.

The pass rate calculation module is used to calculate the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication.

The reference pass rate obtaining module is used to obtain the reference pass rate corresponding to the credibility less than the preset value.

The output module 600 is also used to determine that the data of the enterprise to be authenticated has passed the authentication when the pass rate to be authenticated is greater than the preset reference pass rate.

The data acquisition module is used to periodically acquire the enterprise data to be authenticated of the historically authenticated enterprise, and extract the first label data from the enterprise data to be authenticated.

The third label data calculation module is used to determine whether the third label data corresponding to the enterprise data to be authenticated exists in the blockchain. If it does not exist, calculate the third label according to the original data in the enterprise data to be authenticated and the current smart contract data.

The credibility determination module is used to determine the credibility according to the first tag data and the third tag data.

The first judgment module is used to judge whether the credibility is less than a preset value.

The reference pass rate adjustment module is used to obtain the standard pass rate when the credibility is less than the preset value, and adjust the standard pass rate to obtain the reference pass rate.

In one of the embodiments, the enterprise data acquisition module 100 to be authenticated may include:

Encrypted data Huqiu unit is used to obtain homomorphic encrypted enterprise data to be authenticated from the corresponding node of the blockchain.

The first judging unit is used to judge whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database.

The marking unit is used for marking the non-existent decryption key information to the enterprise data to be authenticated if there is no corresponding decryption key.

The first authentication module 500 is also used to calculate the second label data based on the original data and the difference clauses supported by the zero-knowledge proof technology, and authenticate the second label data through the difference clauses.

The receiving module is used to receive the authentication request sent by the enterprise terminal, and the authentication request carries the authentication subject identifier.

The trusted authentication subject judgment module is used to query whether the authentication subject corresponding to the authentication subject identifier is a trusted authentication subject.

The output module 600 is also used for the enterprise terminal to pass the authentication when the authentication subject corresponding to the authentication subject identification is a trusted authentication subject.

The second judgment module is used to judge whether there is a new smart contract on the blockchain.

The third judgment module is used for judging whether the new smart contract and the existing smart contract have the same terms when there is a new smart contract.

The marking module is used to mark the same terms when there are identical terms.

Regarding the specific limitation of the blockchain-based enterprise data processing device, please refer to the above limitation on the blockchain-based enterprise data processing method, which will not be repeated here. Each module in the above-mentioned block chain-based enterprise data processing device can be implemented in whole or in part by software, hardware, and a combination thereof. The above-mentioned modules may be embedded in the form of hardware or independent of the processor in the computer equipment, or may be stored in the memory of the computer equipment in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. 4. The computer equipment includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile or volatile storage medium and internal memory. The non-volatile or volatile storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the non-volatile storage medium. The database of the computer equipment is used to store corporate data. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer-readable instructions are executed by the processor to realize a blockchain-based enterprise data processing method.

Those skilled in the art can understand that the structure shown in FIG. 4 is only a block diagram of part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may Including more or fewer parts than shown in the figure, or combining some parts, or having a different arrangement of parts.

A computer device comprising a memory and one or more processors. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the one or more processors perform the following steps: corresponding from the blockchain The node obtains the data of the enterprise to be authenticated. The data of the enterprise to be authenticated includes original data and first label data. The first label data is the first label data calculated by the authentication subject on the original data; and the corresponding credibility of the authentication subject is inquired, And determine whether the credibility is greater than or equal to the preset value; when the credibility is greater than or equal to the preset value, the current smart contract and the certified certification corresponding to the enterprise data to be certified are obtained from the corresponding node of the blockchain The subject's historical smart contract; query the same terms corresponding to the current smart contract and the historical smart contract, and determine the difference clause in the current smart contract based on the same terms, calculate the second label data corresponding to the difference clause based on the original data, and pass the difference clause Authenticate the second tag data; calculate the pass rate to be authenticated based on the second tag data that has passed the authentication, the second tag data that has not passed the authentication, and the first tag data; and when the pass rate to be authenticated is greater than the preset reference pass rate At the time, it is determined that the data authentication of the enterprise to be authenticated has passed.

In one of the embodiments, the processor further implements the following steps when executing the computer-readable instructions: when the credibility is less than the preset value, the current smart contract is obtained from the corresponding node of the blockchain; according to the original data and the current smart contract The contract calculates the third label data, and authenticates the third label data through the current smart contract; calculates the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication; obtains and is less than the preset value The reference pass rate corresponding to the credibility of, and when the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication.

In one of the embodiments, the method of adjusting the credibility involved when the processor executes the computer-readable instruction includes: periodically acquiring the data of the enterprise to be authenticated of the historically authenticated enterprise, and extracting the first data from the data of the enterprise to be authenticated. Label data; judge whether there is third label data corresponding to the enterprise data to be authenticated in the blockchain, if not, calculate the third label data according to the original data in the enterprise data to be authenticated and the current smart contract; and according to the first The label data and the third label data determine the credibility.

In one of the embodiments, the method of generating the reference pass rate involved when the processor executes the computer-readable instruction includes: judging whether the credibility is less than a preset value; and when the credibility is less than the preset value, obtaining the standard Pass rate, and adjust the standard pass rate to get the reference pass rate.

In one of the embodiments, obtaining the enterprise data to be authenticated from the corresponding node of the blockchain when the processor executes the computer-readable instruction includes: obtaining the enterprise data to be authenticated after homomorphic encryption from the corresponding node of the blockchain; Determine whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database; if there is no corresponding decryption key, mark the absence of decryption key information to the enterprise data to be authenticated; and the processor executes computer-readable instructions The second label data corresponding to the difference clause is calculated according to the original data, and the second label data is authenticated through the difference clause, including: according to the original data and the difference clause supported by the zero-knowledge proof technology, the second label data is calculated. Second label data, and authenticate the second label data through the difference clause.

In one of the embodiments, before the processor executes the computer-readable instruction to obtain the enterprise data to be authenticated from the corresponding node of the blockchain, the method further includes: receiving an authentication request sent by the enterprise terminal, and the authentication request carries an authentication subject identifier; Inquire whether the authentication subject corresponding to the authentication subject identification is a trusted authentication subject; when the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise terminal passes the authentication.

In one of the embodiments, the processor also implements the following steps when executing the computer-readable instructions: judging whether there is a new smart contract on the blockchain; Whether there are the same terms in the smart contract; and when there are the same terms, the same terms are marked.

One or more computer-readable storage media storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors perform the following steps: Obtain the waiting information from the corresponding node of the blockchain. Authentication enterprise data, the enterprise data to be authenticated includes original data and first label data. The first label data is the first label data calculated by the authentication subject on the original data; the authenticity of the authentication subject is inquired, and the authenticity is determined. Whether the credibility is greater than or equal to the preset value; when the credibility is greater than or equal to the preset value, the current smart contract and the history of the authenticated subject corresponding to the enterprise data to be authenticated are obtained from the corresponding node of the blockchain Smart contract; query the same terms corresponding to the current smart contract and the historical smart contract, and determine the difference clauses in the current smart contract based on the same terms, calculate the second label data corresponding to the difference The label data is authenticated; the pass rate to be authenticated is calculated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and when the pass rate to be authenticated is greater than the preset reference pass rate, it is determined The data of the company to be certified has passed the certification.

Wherein, the computer-readable storage medium may be non-volatile or volatile.

In one of the embodiments, when the computer-readable instruction is executed by the processor, the following steps are also implemented: when the credibility is less than the preset value, the current smart contract is obtained from the corresponding node of the blockchain; according to the original data and the current The smart contract calculates the third label data, and authenticates the third label data through the current smart contract; calculates the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication; the acquisition is less than the preset The reference pass rate corresponding to the credibility of the value; and when the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the data of the enterprise to be authenticated has passed the authentication.

In one of the embodiments, the method of adjusting the credibility involved when the computer-readable instruction is executed by the processor includes: periodically acquiring the enterprise data to be authenticated of the historically authenticated enterprise, and extracting the first enterprise data from the enterprise data to be authenticated. 1. Label data; determine whether there is third label data corresponding to the enterprise data to be authenticated in the blockchain, if not, calculate the third label data according to the original data in the enterprise data to be authenticated and the current smart contract; and The first label data and the third label data determine the credibility.

In one of the embodiments, the method of generating the reference pass rate involved when the computer-readable instruction is executed by the processor includes: judging whether the credibility is less than a preset value; and when the credibility is less than the preset value, obtaining Standard pass rate, and adjust the standard pass rate to get the reference pass rate.

In one of the embodiments, obtaining the enterprise data to be authenticated from the corresponding node of the blockchain when the computer-readable instruction is executed by the processor includes: obtaining the homomorphic encrypted enterprise data to be authenticated from the corresponding node of the blockchain ; Determine whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database; if there is no corresponding decryption key, mark the absence of decryption key information to the enterprise data to be authenticated; and the computer-readable instructions are processed When the device is executed, the second label data corresponding to the difference clause is calculated based on the original data, and the second label data is authenticated through the difference clause, including: calculating the difference clause supported by the zero-knowledge proof technology based on the original data Obtain the second label data, and authenticate the second label data through the difference clause.

In one of the embodiments, before the computer-readable instruction is executed by the processor to obtain the enterprise data to be authenticated from the corresponding node of the blockchain, the method further includes: receiving an authentication request sent by the enterprise terminal, and the authentication request carries an authentication subject identifier ; Query whether the authentication subject corresponding to the authentication subject identification is a trusted authentication subject; and when the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise terminal passes the authentication.

In one of the embodiments, when the computer-readable instruction is executed by the processor, the following steps are also implemented: determine whether there is a new smart contract on the blockchain; when there is a new smart contract, determine whether the new smart contract is related to the existing one Whether there are the same terms in the smart contract; and when there are the same terms, the same terms are marked.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a computer-readable storage. In the medium, when the computer-readable instructions are executed, they may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database, or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not a limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Channel (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered as the range described in this specification.

The above-mentioned embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can be made, and these all fall within the protection scope of this application. Therefore, the scope of protection of the patent of this application shall be subject to the appended claims.

Claims

A blockchain-based enterprise data processing method, including:

Acquiring enterprise data to be authenticated from a corresponding node in the blockchain, where the enterprise data to be authenticated includes original data and first label data, and the first label data is label data calculated by the authentication subject on the original data;

Query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

When the credibility is greater than or equal to the preset value, the current smart contract and the verified historical smart contract of the authentication subject corresponding to the enterprise data to be authenticated are obtained from the corresponding node of the blockchain ；

Query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the second label corresponding to the difference terms based on the original data Data, and authenticate the second label data through the difference clause;

Calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
The method according to claim 1, wherein the method further comprises:

When the credibility is less than the preset value, the current smart contract is obtained from the corresponding node of the blockchain;

Calculate third tag data according to the original data and the current smart contract, and authenticate the third tag data through the current smart contract;

Calculate the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication;

Obtain the reference pass rate corresponding to the credibility that is less than the preset value; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
The method according to claim 2, wherein the way of adjusting the credibility includes:

Periodically obtain the enterprise data to be authenticated of the enterprise that has passed the historical authentication, and extract the first label data from the enterprise data to be authenticated;

Determine whether the third tag data corresponding to the enterprise data to be authenticated exists in the blockchain, and if it does not exist, calculate the third tag data according to the original data in the enterprise data to be authenticated and the current smart contract; and

The credibility is determined according to the first tag data and the third tag data.
The method according to claim 3, wherein the method of generating the reference pass rate comprises:

Determine whether the reliability is less than a preset value; and

When the reliability is less than the preset value, the standard pass rate is obtained, and the standard pass rate is adjusted to obtain the reference pass rate.
The method according to any one of claims 1 to 4, wherein the obtaining the enterprise data to be authenticated from the corresponding node of the blockchain comprises:

Obtain the homomorphic encrypted enterprise data to be authenticated from the corresponding node of the blockchain;

Determine whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database;

If there is no corresponding decryption key, mark that there is no decryption key information to the enterprise data information to be authenticated to the enterprise data to be authenticated; and

The calculating the second label data corresponding to the difference clause according to the original data, and authenticating the second label data through the difference clause, includes:

According to the original data and the difference clause supported by the zero-knowledge proof technology, the second label data is calculated by calculation, and the second label data is authenticated through the difference clause.
The method according to any one of claims 1 to 4, wherein before the obtaining the enterprise data to be authenticated from the corresponding node of the blockchain, the method further comprises:

Receiving an authentication request sent by an enterprise terminal, the authentication request carrying an authentication subject identifier;

Query whether the authentication subject corresponding to the authentication subject identifier is a trusted authentication subject; and

When the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise terminal passes the authentication.
The method according to any one of claims 1 to 4, wherein the method further comprises:

Determine whether there is a new smart contract on the blockchain;

When there is a new smart contract, it is determined whether the new smart contract and the existing smart contract have the same terms; and

When there are identical clauses, the same clauses are marked.
A blockchain-based enterprise data processing device, including:

The data acquisition module of the enterprise to be authenticated is used to obtain the data of the enterprise to be authenticated from the corresponding node of the blockchain. The enterprise data to be authenticated includes original data and first label data, and the first label data is calculated by the authentication subject on the original data First label data, the enterprise data to be authenticated includes original data and first label data, and the first label data is the first label data calculated by the authentication subject on the original data;

The first query module is configured to query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

The first smart contract acquisition module is used to obtain the current smart contract and the certified enterprise data corresponding to the enterprise data to be certified from the corresponding node of the blockchain when the credibility is greater than or equal to the preset value. The historical smart contract of the authentication subject;

The second query module is used to query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the The second label data corresponding to the difference clause, and the second label data is authenticated through the difference clause;

The first authentication module is configured to calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data;

The output module is configured to determine that the data of the enterprise to be authenticated has passed the authentication when the pass rate to be authenticated is greater than the preset reference pass rate.
A computer device includes a memory and one or more processors. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the one or more processors, the one or more Each processor performs the following steps:

Acquiring enterprise data to be authenticated from a corresponding node in the blockchain, where the enterprise data to be authenticated includes original data and first label data, and the first label data is label data calculated by the authentication subject on the original data;

Query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

When the credibility is greater than or equal to the preset value, the current smart contract and the verified historical smart contract of the authentication subject corresponding to the enterprise data to be authenticated are obtained from the corresponding node of the blockchain ；

Query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the second label corresponding to the difference terms based on the original data Data, and authenticate the second label data through the difference clause;

Calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
The computer device according to claim 9, wherein the processor further executes the following steps when executing the computer readable instruction:

When the credibility is less than the preset value, the current smart contract is obtained from the corresponding node of the blockchain;

Calculate third tag data according to the original data and the current smart contract, and authenticate the third tag data through the current smart contract;

Calculate the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication;

Obtain the reference pass rate corresponding to the credibility that is less than the preset value; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
11. The computer device according to claim 10, wherein the way of adjusting the credibility involved when the processor executes the computer-readable instruction comprises:

Periodically obtain the enterprise data to be authenticated of the enterprise that has passed the historical authentication, and extract the first label data from the enterprise data to be authenticated;

Determine whether the third tag data corresponding to the enterprise data to be authenticated exists in the blockchain, and if it does not exist, calculate the third tag data according to the original data in the enterprise data to be authenticated and the current smart contract; and

The credibility is determined according to the first tag data and the third tag data.
11. The computer device according to claim 11, wherein the method for generating the reference pass rate involved when the processor executes the computer-readable instruction comprises:

Determine whether the reliability is less than a preset value; and

When the reliability is less than the preset value, the standard pass rate is obtained, and the standard pass rate is adjusted to obtain the reference pass rate.
The computer device according to any one of claims 9 to 12, wherein the acquiring enterprise data to be authenticated from the corresponding node of the blockchain involved when the processor executes the computer-readable instruction includes:

Obtain the homomorphic encrypted enterprise data to be authenticated from the corresponding node of the blockchain;

Determine whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database;

If there is no corresponding decryption key, mark that there is no decryption key information to the enterprise data information to be authenticated to the enterprise data to be authenticated; and

When the processor executes the computer-readable instruction, the second label data corresponding to the difference clause is calculated according to the original data, and the second label data is authenticated through the difference clause ,include,

According to the original data and the difference clause supported by the zero-knowledge proof technology, the second label data is calculated by calculation, and the second label data is authenticated through the difference clause.
The computer device according to any one of claims 9 to 12, wherein, before the obtaining the enterprise data to be authenticated from the corresponding node of the blockchain involved when the processor executes the computer-readable instruction, it further comprises:

Receiving an authentication request sent by an enterprise terminal, the authentication request carrying an authentication subject identifier;

Query whether the authentication subject corresponding to the authentication subject identifier is a trusted authentication subject; and

When the authentication subject corresponding to the authentication subject identification is a trusted authentication subject, the enterprise terminal passes the authentication.
The computer device according to any one of claims 9 to 12, wherein the processor further executes the following steps when executing the computer readable instruction:

Determine whether there is a new smart contract on the blockchain;

When there is a new smart contract, it is determined whether the new smart contract and the existing smart contract have the same terms; and

When there are identical clauses, the same clauses are marked.
One or more computer-readable storage media storing computer-readable instructions, which when executed by one or more processors, cause the one or more processors to perform the following steps:

Acquiring enterprise data to be authenticated from a corresponding node in the blockchain, where the enterprise data to be authenticated includes original data and first label data, and the first label data is label data calculated by the authentication subject on the original data;

Query the credibility corresponding to the authentication subject, and determine whether the credibility is greater than or equal to a preset value;

When the credibility is greater than or equal to the preset value, the current smart contract and the verified historical smart contract of the authentication subject corresponding to the enterprise data to be authenticated are obtained from the corresponding node of the blockchain ；

Query the same terms corresponding to the current smart contract and the historical smart contract, determine the difference terms in the current smart contract according to the same terms, and calculate the second label corresponding to the difference terms based on the original data Data, and authenticate the second label data through the difference clause;

Calculate the pass rate to be authenticated according to the second label data that has passed the authentication, the second label data that has not passed the authentication, and the first label data; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
The storage medium according to claim 16, wherein the following steps are further performed when the computer-readable instructions are executed by the processor:

When the credibility is less than the preset value, the current smart contract is obtained from the corresponding node of the blockchain;

Calculate third tag data according to the original data and the current smart contract, and authenticate the third tag data through the current smart contract;

Calculate the pass rate to be authenticated according to the third label data that has passed the authentication and the third label data that has not passed the authentication;

Obtain the reference pass rate corresponding to the credibility that is less than the preset value; and

When the pass rate to be authenticated is greater than the preset reference pass rate, it is determined that the authentication of the data of the enterprise to be authenticated has passed.
18. The storage medium according to claim 17, wherein the way of adjusting the credibility involved when the computer-readable instruction is executed by the processor comprises:

Periodically obtain the enterprise data to be authenticated of the enterprise that has passed the historical authentication, and extract the first label data from the enterprise data to be authenticated;

Determine whether the third tag data corresponding to the enterprise data to be authenticated exists in the blockchain, and if it does not exist, calculate the third tag data according to the original data in the enterprise data to be authenticated and the current smart contract; and

The credibility is determined according to the first tag data and the third tag data.
18. The storage medium according to claim 18, wherein the method for generating the reference pass rate involved when the computer-readable instruction is executed by the processor comprises:

Determine whether the reliability is less than a preset value; and

When the reliability is less than the preset value, the standard pass rate is obtained, and the standard pass rate is adjusted to obtain the reference pass rate.
The storage medium according to any one of claims 16 to 19, wherein the obtaining of enterprise data to be authenticated from the corresponding node of the blockchain involved when the computer-readable instruction is executed by the processor includes:

Obtain the homomorphic encrypted enterprise data to be authenticated from the corresponding node of the blockchain;

Determine whether there is a decryption key corresponding to the enterprise data to be authenticated in the local database;

If there is no corresponding decryption key, mark that there is no decryption key information to the enterprise data information to be authenticated to the enterprise data to be authenticated; and

When the computer-readable instruction is executed by the processor, the second label data corresponding to the difference clause is calculated according to the original data, and the second label data is performed through the difference clause. Certification, including,

According to the original data and the difference clause supported by the zero-knowledge proof technology, the second label data is calculated, and the second label data is authenticated through the difference clause.