CN112686656A

CN112686656A - Information protection method based on big data and block chain payment and big data server

Info

Publication number: CN112686656A
Application number: CN202011604191.4A
Authority: CN
Inventors: 曹凤仙
Original assignee: 曹凤仙
Current assignee: SHENZHEN HEZI INFORMATION TECHNOLOGY Co.,Ltd.
Priority date: 2020-12-30
Filing date: 2020-12-30
Publication date: 2021-04-20
Anticipated expiration: 2040-12-30
Also published as: CN112686656B

Abstract

The embodiment of the application discloses an information protection method based on big data and block chain payment and a big data server. When the scheme is applied, order information content and payment service operation content of different blockchain payment nodes can be obtained, and initial access authority information is further determined according to the order information content, so that content pairing of the initial access authority information and the corresponding payment service operation content can be realized, an information interface adjusting instruction can be conveniently sent to the first blockchain payment node according to an authority pairing result, the opening and closing states of an information interface of the first blockchain payment node can be monitored in real time, loss of important information and privacy information caused by mistakenly operating and opening a related information interface of the first blockchain payment node in a payment service process is avoided, and information security of the first blockchain payment node in the payment service process is ensured as much as possible.

Description

Information protection method based on big data and block chain payment and big data server

Technical Field

The application relates to the technical field of big data and block chains, in particular to an information protection method based on big data and block chain payment and a big data server.

Background

The Blockchain (Blockchain) is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. The blockchain is essentially a decentralized database, and as the underlying technology of network currency, is a series of data blocks generated by using a cryptographic method to correlate, wherein each data block contains information of one network transaction, and the information is used for verifying the validity of the information and generating the next block.

With the development of blockchain payment, blockchain payment technology is more and more mature, the blockchain payment can effectively solve the risk of the existing payment (third party payment), and a more transparent and public, safer and more reliable, lower-cost and more efficient payment system can be provided.

Disclosure of Invention

One of the embodiments of the present application provides an information protection method based on big data and blockchain payment, where the method includes: obtaining order information content and first payment service operation content obtained according to service interaction data generated by a first block chain payment node under a current payment network, obtaining second payment service operation content obtained according to service interaction data generated by a second block chain payment node under the current payment network, and obtaining third payment service operation content obtained according to service interaction data generated by a third block chain payment node under a target payment network; acquiring initial access authority information corresponding to the order information content, and performing content pairing on the initial access authority information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content and the initial access authority information; and sending an information interface adjusting instruction to the first block chain payment node according to the permission pairing result of the initial access permission information and the corresponding payment service operation content.

One of the embodiments of the present application provides an information protection method based on big data and blockchain payment, where the method includes: acquiring order information content and payment service operation content corresponding to the blockchain payment node; determining initial access authority information corresponding to the order information content, and performing content pairing by combining the payment service operation content; and sending an information interface adjusting instruction to the first block chain payment node according to the permission pairing result of the initial access permission information and the corresponding payment service operation content.

One of the embodiments of the present application provides a big data server, which includes a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, and the processing engine reads the computer program from the memory and operates to perform the above-described method.

One of the embodiments of the present application provides a computer storage medium, on which a computer program is stored, where the computer program is executed to implement the method described above.

In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.

Drawings

The present application will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is a flow diagram of an exemplary big data and blockchain payment based information protection method and/or process, according to some embodiments of the invention;

FIG. 2 is a block diagram of an exemplary big data and blockchain payment based information guard, according to some embodiments of the present invention;

FIG. 3 is a block diagram of an exemplary big data and blockchain payment based information protection system, shown in accordance with some embodiments of the invention, an

FIG. 4 is a diagram illustrating the hardware and software components of an exemplary big data server, according to some embodiments of the invention.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.

As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.

The inventor has found through research and analysis that in the practical application process of blockchain payment, although the payment bill information and the like of blockchain payment nodes cannot be tampered, when blockchain payment is performed between blockchain payment nodes, some important and relatively private information interfaces may be opened by mistake due to improper operation of a user, which may bring a chance to hackers. For example, when the blockchain payment node a and the blockchain payment node b perform payment service interaction, the on state of the information interface of the blockchain payment node a is that the information interfaces k1-k3 are on, and the information interfaces k4-k5 are off. The information interfaces k4-k5 interface with relatively important and private information calling interfaces of the blockchain payment node a, and if the blockchain payment node a mistakenly opens the information interfaces k4-k5 in the process of some payment operations, important and private information can be lost.

Aiming at the problems, the inventor provides an information protection method based on big data and block chain payment and a big data server in a targeted manner, by analyzing the payment service operation content of a block chain payment node in a payment network at different time intervals and pairing access authority information and the payment service operation content, an information interface adjusting instruction for indicating the block chain payment node to adjust an information interface can be generated, and an information interface which is mistakenly opened due to improper operation before the block chain payment node is closed is timely reminded, so that important information and privacy information are prevented from being lost in the payment service process.

First, an exemplary method for protecting information based on big data and blockchain payment is described, referring to fig. 1, which is a flowchart illustrating an exemplary method and/or process for protecting information based on big data and blockchain payment according to some embodiments of the present invention, and the method for protecting information based on big data and blockchain payment may include the technical solutions described in the following steps S1-S3.

Step S1, obtaining order information content and first payment service operation content obtained according to service interaction data generated by a first blockchain payment node in the current payment network, obtaining second payment service operation content obtained according to service interaction data generated by a second blockchain payment node in the current payment network, and obtaining third payment service operation content obtained according to service interaction data generated by a third blockchain payment node in the target payment network.

For example, the current payment network may be the communication network corresponding to the current time period. The first blockchain payment node and the second blockchain payment node may be blockchain payment nodes which communicate under the current payment network and perform payment service interaction. The target payment network may be a payment network corresponding to a historical period. The current time period may be set according to actual conditions, for example, 7 days of the week may be used as the current time period, and the current day may also be used as the current time period. The historical period may then be opposite the current period: if the current time period is the current day, the time period before the current day can be understood as the historical time period. The third blockchain payment node can be understood as a blockchain payment node with a problem of important privacy information leakage.

In this embodiment, the blockchain payment node may be an intelligent device with payment and communication functions, including but not limited to a laptop computer, a desktop computer, and the like. The service interaction data generated by the first blockchain payment node and the service interaction data generated by the second blockchain payment node may partially intersect with each other, and the service interaction data generated by the third blockchain payment node may be service interaction data corresponding to the third blockchain payment node in a previous payment service.

It is to be understood that the payment service operation content of different blockchain payment nodes may be different, wherein the payment service operation content may include a touch operation for the blockchain payment node, for example, if the blockchain payment node is a touch smart device, the payment service operation content may include a click operation and a slide operation performed on the touch smart device. In addition, the payment service operation content also includes response information content corresponding to the blockchain payment node, such as feedback made by the blockchain payment node for different service operations.

For example, the order information content may include information related to payment services between the first blockchain payment node and the second blockchain payment node, such as payment subject matter, payment method, payment amount, and the like, which is not limited herein.

Step S2, obtaining initial access right information corresponding to the order information content, and performing content pairing between the initial access right information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content, and the initial access right information.

For example, the initial access authority information may be understood as access authority distribution information preset by the first blockchain payment node and specific to the information interface of the first blockchain payment node, for example, which information interfaces of the first blockchain payment node can be accessed during payment service interaction and which information interfaces are not allowed to be accessed during payment service interaction, and in general, the interface which is not allowed to be accessed during payment service interaction may be understood as an interface corresponding to important information and privacy information of the first blockchain payment node. Generally, the first blockchain payment node can determine corresponding initial access authority information according to the order information content. The content pairing of the initial access permission information and the corresponding payment service operation content can be understood as realizing the permission pairing of the initial access permission information and the payment service operation content, that is, analyzing whether the payment service operation content corresponds to the initial access permission information or not. Therefore, whether the access authority corresponding to the payment service operation content exceeds the access authority range corresponding to the initial access authority information or not can be detected, and whether some information interfaces are mistakenly opened by the first block chain payment node or not can be judged.

Step S3, sending an information interface adjustment instruction to the first blockchain payment node according to the permission pairing result between the initial access permission information and the corresponding payment service operation content.

For example, the information interface adjustment instruction is used for instructing the first blockchain payment node to close the relevant information interface, so that the important information and the privacy information of the first blockchain payment node are prevented from being leaked due to mistaken opening of the information interface related to the important information and the privacy information. Generally speaking, if no information interface adjustment instruction is sent, the first blockchain payment node may have difficulty in perceiving that the related information interface is opened by mistake, and therefore, through the above-mentioned technique, the open and close states of the information interface of the first blockchain payment node can be monitored in real time, thereby avoiding loss of important information and privacy information caused by opening the related information interface by mistake operation in the payment service process of the first blockchain payment node, and thus ensuring information security of the first blockchain payment node in the payment service process as much as possible.

Of course, the above scheme may also be performed for the second blockchain payment node, which is not described herein. The phenomenon that information is lost and leaked occurs between the third block chain payment nodes can be understood, so that whether the phenomenon that the interface is opened by mistake exists in the first block chain payment node can be more accurately judged by introducing the third payment service operation content of the third block chain payment nodes for analysis.

In summary, when the contents described in the above steps S1-S3 are applied, the order information content and the payment service operation content of different blockchain payment nodes can be obtained, the initial access right information is further determined according to the order information content, therefore, the content matching between the initial access authority information and the corresponding payment service operation content can be realized, the information interface adjusting instruction can be conveniently sent to the first blockchain payment node according to the authority matching result, the opening and closing states of the information interface of the first blockchain payment node can be monitored in real time, thereby avoiding the loss of important information and privacy information caused by the misoperation of opening the related information interface during the payment service process of the first blockchain payment node, thereby ensuring the information security of the first blockchain payment node in the payment business process as much as possible. In addition, the third block chain payment node with the phenomenon of information loss and leakage is introduced for analysis, so that whether the first block chain payment node is mistakenly opened or not can be judged more accurately.

It should be understood that, in the above solution, the big data server does not participate in the payment service process of the blockchain payment node, and only analyzes the information interface state of the blockchain payment node, so that the normal payment service of the blockchain payment node is not affected.

In the following, some alternative embodiments will be described, which should be understood as examples and not as technical features essential for implementing the present solution.

In some embodiments, the obtaining of the initial access right information corresponding to the order information content described in step S2, and content pairing the initial access right information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content and the initial access right information may include the following steps S21-S24.

Step S21, performing content matching on the order information content and the first payment service operation content matched with the order information content to obtain a first content matching result, and searching in a service node database according to the order information content to obtain initial access right information corresponding to the order information content. For example, the first content pairing result may be a pairing result of a payment method in the order information content and the first payment service operation content, and the service node database may be pre-built according to information interface configuration data and access right configuration data corresponding to different blockchain payment nodes, and is used to store access right information of different blockchain payment nodes in different payment methods.

Step S22, performing operation behavior authority identification on the first payment service operation content and the second payment service operation content, and determining dynamic access authority information corresponding to the operation behavior authority identification result, so as to obtain a second content pairing result between the payment service operation content and the dynamic access authority information. For example, the operation behavior authority identification may be used to analyze differences between payment service operation contents corresponding to different blockchain payment nodes, the dynamic access authority information may be used to characterize real-time change conditions of access authorities of the first blockchain payment node, and the second content pairing result is used to characterize consistency comparison results of operation behaviors and access authorities between the first payment service operation contents and the second payment service operation contents and the dynamic access authority information.

Step S23, pairing the first payment service operation content and the second payment service operation content according to the third payment service operation content, so as to obtain a third content pairing result between the third payment service operation content and the first payment service operation content or the second payment service operation content. For example, the third payment service operation content includes operation content of starting the third block chain payment node to open the information interface by mistake, so that the third content pairing result can reflect an operation behavior comparison result between the third payment service operation content and the first payment service operation content as well as between the third payment service operation content and the second payment service operation content, thereby providing an analysis basis for subsequent information interface false opening analysis.

Step S24, performing content pairing on the initial access right information and corresponding payment service operation content based on the first content pairing result, the second content pairing result, the third content pairing result, and the initial access right information.

It can be understood that by implementing the above steps S21-S24, the content pairing result between different payment service operation contents can be considered, and since the third payment service operation content of the information leakage phenomenon existing before is considered when performing content pairing, the reliability in content pairing the initial access right information and the corresponding payment service operation content can be ensured, so that the high correlation between the right pairing result of the initial access right information and the corresponding payment service operation content and the first payment service operation content of the first blockchain payment node can be ensured.

In a possible embodiment, the step S1 of obtaining the order information content and the first payment service operation content obtained according to the service interaction data generated by the first blockchain payment node in the current payment network, the second payment service operation content obtained according to the service interaction data generated by the second blockchain payment node in the current payment network, and the third payment service operation content obtained according to the service interaction data generated by the third blockchain payment node in the target payment network may include the following steps S11-S14.

Step S11, obtain the first service interaction data sent by the first blockchain payment node, the second service interaction data sent by the second blockchain payment node, and the third service interaction data sent by the third blockchain payment node. For example, the service interaction data may be data corresponding to service interaction between different blockchain payment nodes and other blockchain payment nodes when performing a payment service.

Step S12, analyzing and integrating the order information and the payment service operation included in each service interaction event in the first service interaction data, respectively, to obtain the order information content and the first payment service operation content. For example, a business interaction event may include multiple types of events such as identity confirmation, transaction subject matter confirmation, and the like.

Step S13, analyzing and integrating the payment service operations included in each service interaction event in the second service interaction data to obtain the second payment service operation content.

Step S14, analyzing and integrating the payment service operations included in each service interaction event in the third service interaction data to obtain the third payment service operation content.

It can be understood that different payment service operation contents can be completely obtained by analyzing and integrating the service interaction event and the payment service operation, thereby facilitating subsequent access right analysis.

For some possible embodiments, the service node database includes a plurality of order information tags and set access right information corresponding to each order information tag, and based on this, the step S21 of searching in the service node database according to the order information content to obtain the initial access right information corresponding to the order information content may include the following steps S211 and S212.

Step S211, obtaining a target order information label corresponding to the order information content. For example, the target order information tag is used to distinguish different order information content.

Step S212, determining a tag correlation coefficient between the target order information tag and each order information tag, and using the set access right information corresponding to the order information tag with the largest tag correlation coefficient as the initial access right information. For example, the tag correlation coefficient between the target order information tag and each of the order information tags does not include the tag correlation coefficient between the target order information tag and the target order information tag, and the tag correlation coefficient may be a pearson correlation coefficient.

For some further embodiments, the performing, by step S22, operation behavior authority recognition on the first payment service operation content and the second payment service operation content, and determining dynamic access authority information corresponding to the operation behavior authority recognition result to obtain a second content pairing result between the payment service operation content and the dynamic access authority information may include the following contents described in steps S221 to S223.

Step S221, completing the operation content of the first payment service operation content and the second payment service operation content. For example, the operation content completion can be used for completing the missing part of the operation content of different payment services.

Step S222, calling an operation behavior authority identification model to perform operation behavior authority identification on the first payment service operation content and the second payment service operation content after the operation content is completed, so as to obtain an operation behavior portrait. For example, the operation behavior authority recognition model may be a convolutional neural network model, and the training process and the parameter adjustment process thereof are common in the art and therefore will not be described further herein. The operation behavior portrait can be used for distinguishing different payment service operation contents, so that the following fine and simplified processing is realized.

Step S223, payment service operation information is searched according to the operation behavior portrait to obtain dynamic access authority information corresponding to the operation behavior portrait, and the second content matching result is determined according to the matching relation between the operation behavior portrait and the dynamic access authority information.

Therefore, the integrity and the accuracy of the matching result of the second content can be ensured by complementing the missing part of the content in the operation content of different payment services and then performing subsequent operation behavior authority identification and content pairing.

Further, in step S222, the invoking operation behavior permission recognition model performs operation behavior permission recognition on the first payment service operation content and the second payment service operation content after completion of the operation content to obtain an operation behavior representation, which may include the following steps S2221 and S2222.

Step S2221, respectively performing portrait identification on the first payment service operation content and the second payment service operation content to obtain a first content portrait label corresponding to the first payment service operation content and a second content portrait label corresponding to the second payment service operation content. For example, content representation tags may be used to classify different content representations.

Step S2222, determining the label correlation coefficient between the first content portrait labels, between the second content portrait labels and between the first content portrait labels and the second content portrait labels, and performing operation behavior authority identification on the first payment service operation content and the second payment service operation content according to the label correlation coefficient to obtain the operation behavior portrait.

In some possible embodiments, the number of the operation behavior images is multiple, and each operation behavior image includes one or more payment service operation contents, based on the above contents, in step S223, the performing payment service operation information lookup according to the operation behavior image to obtain dynamic access right information corresponding to the operation behavior image may include the following steps S2231 to S2233.

Step S2231, obtaining a global operation security detection result of each payment service operation content in each operation behavior portrait, and determining a target operation behavior portrait according to the global operation security detection result. For example, the global operation security detection may perform anomaly detection on the payment service operation content, thereby ensuring the validity of the payment service operation content.

Step S2232, obtaining a global portrait label corresponding to the target operation behavior portrait, and searching in a payment service operation information base according to the global portrait label to obtain an access permission search result corresponding to the target operation behavior portrait. For example, the global portrait tag may reflect relevant characteristics of the target operation behavior portrait from the whole payment business process, such as security and real-time. The payment service operation information base can be information which is set up in advance and is used for storing different payment service operation information.

And step S2233, determining the dynamic access authority information according to the access authority searching result.

In this way, based on the above steps S2231 to S2233, global operation security detection is performed before the dynamic access permission information is determined, and a global portrait label is obtained, so that the security and the validity of the dynamic access permission information determined according to the access permission search result can be ensured.

In a further embodiment, the obtaining of the global operation security detection result of each payment service operation content in each operation behavior representation described in step S2231, and determining a target operation behavior representation according to the global operation security detection result may include the following contents described in step S2231 a-step S2231 d.

Step S2231a, obtaining an operation security detection result of the payment service operation corresponding to the dynamic service interaction event included in each payment service operation content.

Step S2231b, determining a global operation security detection result of each payment service operation content according to the operation security detection result of the payment service operation and the number of the dynamic service interaction events.

Step S2231c, comparing the global operation security detection result of each payment service operation content in each operation behavior representation with a preset operation security detection level.

Step S2231d, when the operation security level corresponding to the global operation security detection result of all the payment service operation contents in the operation behavior portrait is greater than or equal to the preset operation security detection level, taking the operation behavior portrait as the target operation behavior portrait.

Further, the acquiring of the global portrait label corresponding to the target operation behavior portrait described in step S2232 may include the following contents described in step S2232a and step S2232 b.

Step S2232a, sorting the payment service operation content in the target operation behavior representation from large to small according to the operation security level of the global operation security detection result.

Step S2232b, sequentially obtaining a first preset number of payment service operation contents, determining a first global content portrait label according to the content portrait labels of the first preset number of payment service operation contents, and taking the first global content portrait label as the global portrait label.

In some possible embodiments, the payment service operation information base includes a plurality of payment service operation information identification information and a plurality of payment service operation contents complemented with operation contents corresponding to each of the payment service operation information identification information, based on which the searching in the payment service operation information base according to the global portrait label described in step S2232 to obtain an access right searching result corresponding to the target operation behavior portrait may include the following steps S22321 to S22324.

Step S22321, traversing the identification information of each payment service operation information, and determining a global operation security detection result of the payment service operation content after completion of a plurality of operation contents corresponding to the identification information of the payment service operation information. For example, the identification information may be a number or other identification that can distinguish payment service operation information.

Step S22322, sorting the payment service operation contents with the supplemented operation contents corresponding to the identification information of the payment service operation information according to the operation security level of the global operation security detection result from small to large, and sequentially obtaining a second preset number of target payment service operation contents with the supplemented operation contents.

Step S22323, determining a second global content portrait label corresponding to the identification information of the payment service operation information according to the content portrait label of the target payment service operation content after completing the operation content.

Step 22324, determining a tag correlation coefficient between the global portrait tag and the second global content portrait tag to obtain an access permission search result corresponding to the target operation behavior portrait.

Further, the determining the dynamic access authority information according to the access authority search result described in the above step S2233 may include steps S22331 to S22333.

Step S22331, obtaining a target access permission search result with the highest access permission level corresponding to the target operation behavior image, and comparing the highest access permission level with a set access permission level. It will be appreciated that the higher the access privilege level, the greater the number of information interfaces that can be accessed.

Step S22332, when the highest access permission level is greater than the set access permission level, generating the dynamic access permission information according to the identification information of the payment service operation information corresponding to the highest access permission level.

Step S22333, when the highest access permission level is less than or equal to the set access permission level, generating the dynamic access permission information according to the payment service operation content of the global operation security detection result with the highest operation security level in the target operation behavior representation.

In this way, when the above-described steps S22331 to S22333 are performed, the dynamic access authority information can be determined in different ways according to the comparison result by comparing the highest access authority level with the set access authority level, and thus the dynamic access authority information can be accurately determined.

For some possible embodiments, in order to ensure that the third content pairing result can reflect the correlation degree between different payment service operation contents, the pairing between the first payment service operation content and the second payment service operation content according to the third payment service operation content described in step S23 to obtain the third content pairing result between the third payment service operation content and the first payment service operation content or the second payment service operation content may include the following steps S231 to S233.

Step S231, performing image recognition on the third payment service operation content to obtain a third content portrait label, and performing image recognition on the first payment service operation content and the second payment service operation content to obtain a fourth content portrait label and a fifth content portrait label, respectively.

Step S232, determine the tag correlation coefficients between the third content portrait tag and the fourth content portrait tag and between the third content portrait tag and the fifth content portrait tag.

Step S233, performing content pairing on the third payment service operation content corresponding to the highest tag correlation coefficient and the first payment service operation content, or performing content pairing on the third payment service operation content corresponding to the highest tag correlation coefficient and the second payment service operation content, so as to obtain the third content pairing result.

By such design, based on the steps S231 to S233, the tag correlation coefficient can be determined by different content portrait tags, and then content pairing between different payment service operation contents can be realized according to the tag correlation coefficient, so that it can be ensured that the third content pairing result can reflect the correlation between different payment service operation contents.

In one possible embodiment, in order to ensure high correlation between the permission pairing result of the initial access permission information and the corresponding payment service operation content and the first payment service operation content of the first blockchain payment node, content pairing of the initial access permission information and the corresponding payment service operation content based on the first content pairing result, the second content pairing result, the third content pairing result and the initial access permission information, which is described in step S24, may include the following contents described in steps S241 to S246.

Step S241, determining an access permission tag set according to the pairing item corresponding to the first content pairing result, the pairing item corresponding to the second content pairing result, and the pairing item corresponding to the third content pairing result, where the access permission tag set includes j different access permission tags, and j is an integer greater than 1. For example, the pairing transaction may be a service transaction corresponding to different operation categories and different operation responses, and the access permission tag may include a permission tag in a normal state and a permission tag in an abnormal state, where the permission tag in the abnormal state may be a tag corresponding to an intercepted permission request, that is, a later permission interception tag.

Step S242, obtaining an authority interception tag set according to the access authority tag set, where the authority interception tag set includes j different authority interception tags.

Step S243, based on the access permission label set, acquiring an access permission type information set through a first permission type identification layer included in a label identification network, where the access permission type information set includes j access permission type information. For example, the label recognition network may be a classifier, and the first authority class recognition layer may be a functional unit in the classifier, and further, the training and building of the classifier are prior art and will not be further described here.

Step S244, based on the permission interception tag set, acquiring an interception permission type information set through a second permission type identification layer included in the tag identification network, where the interception permission type information set includes j pieces of interception permission type information.

Step S245, based on the access authority category information set and the interception authority category information set, acquiring an authority behavior identification result corresponding to the access authority tag set through an authority behavior matching layer included in the tag identification network; and determining the content pairing indication information of the access authority label set according to the authority behavior identification result. For example, the content pairing instruction information is used to instruct a matching manner and a matching order between the initial access right information and the corresponding payment service operation content for content pairing. The payment service operation content corresponding to the initial access right information may be payment service operation content related to the first blockchain payment node, and the payment service operation content related to the first blockchain payment node may be obtained through the first payment service operation content, the second payment service operation content, and the third payment service operation content.

Step S246, performing content pairing on the initial access right information and the corresponding payment service operation content through the content pairing instruction information, to obtain a right pairing result of the initial access right information and the corresponding payment service operation content. For example, the right pairing result is used to represent a comparison result between the state of the information interface corresponding to the initial access right information and the state of the information interface corresponding to the payment service operation content.

In this way, by implementing the above steps S241 to S246, the access right tag and the right interception tag can be analyzed to determine the content pairing indication information, so that content pairing between the initial access right information and the corresponding payment service operation content can be realized based on the content pairing indication information, and since the payment service operation content corresponding to the initial access right information can be the payment service operation content related to the first blockchain payment node, high correlation between the right pairing result of the initial access right information and the corresponding payment service operation content and the first payment service operation content of the first blockchain payment node can be ensured.

In a possible embodiment, the acquiring, by the authorization behavior matching layer included in the tag identification network, the authorization behavior identification result corresponding to the access authorization tag set based on the access authorization category information set and the interception authorization category information set described in step S245 may include the following contents described in steps S2451 to S2455.

Step S2451, based on the access authority category information set, acquiring j pieces of first authority category associated information through a first dynamic category analysis layer included in the tag identification network, wherein each piece of first authority category associated information corresponds to one piece of access authority category information.

Step S2452, based on the set of interception authority category information, obtaining j pieces of second authority category association information through a second dynamic category analysis layer included in the tag identification network, where each piece of second authority category association information corresponds to one piece of interception authority category information.

Step S2453, performing information splicing processing on the j first permission type association information and the j second permission type association information to obtain j target permission type association information, wherein each target permission type association information comprises one first permission type association information and one second permission type association information.

Step S2454, acquiring fusion authority category associated information through an authority information fusion layer included in the tag identification network based on the j target authority category associated information, wherein the fusion authority category associated information is determined according to the j target authority category associated information and the j information associated weights, and each target authority category associated information corresponds to one information associated weight.

Step S2455, based on the fusion authority category correlation information, acquiring an authority behavior recognition result corresponding to the access authority tag set through an authority behavior matching layer included in the tag recognition network.

It can be understood that based on the contents described in the above steps S2451 to S2455, different authority category association information can be determined through different dynamic category analysis layers included in the tag identification network, and further, fusion authority category association information can be determined, so that an authority behavior matching layer included in the tag identification network can be used to obtain an authority behavior identification result corresponding to the access authority tag set. In this way, it can be ensured that the authorization behavior recognition result matches the actual payment service behavior.

Further, a partial code regarding an implementation of the authority behavior matching layer included in the tag identification network is as follows.

package com.rainbowforest.orderservice.controller;

import com.rainbowforest.orderservice.domain.Item;

import com.rainbowforest.orderservice.domain.Order;

import com.rainbowforest.orderservice.domain.User;

import com.rainbowforest.orderservice.feignclient.UserClient;

import com.rainbowforest.orderservice.http.header.HeaderGenerator;

import com.rainbowforest.orderservice.service.CartService;

import com.rainbowforest.orderservice.service.OrderService;

import com.rainbowforest.orderservice.utilities.OrderUtilities;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.http.HttpStatus;

import org.springframework.http.ResponseEntity;

import org.springframework.web.bind.annotation.*;

import java.time.LocalDate;

import java.util.List;

import javax.servlet.http.HttpServletRequest;

@RestController

public class OrderController {

@Autowired

private UserClient// blockchain Payment node

@Autowired

private OrderService orderService;/Payment service;)

@Autowired

private Cartervice CartService;/Account transaction service

@Autowired

private header generator// message header generator

// permission behavior matching request entry

private BigDecimal SubTotal// matching cumulative value

@ManyToOne (cascade = CascadeType.ALL)

@ JoinColumn (name = "privilege _ id")// permission type number

private Product product;

@ManyToMany (mappedBy = "items")

@JsonIgnore

private List < Order > orders// Payment service Order

}

In an alternative embodiment, the step S3 of sending an information interface adjustment instruction to the first blockchain payment node according to the result of the right pairing between the initial access right information and the corresponding payment service operation content may include the following steps S31-S35.

Step S31, acquiring information interface state information and access authority state information in the authority pairing result; and performing state pairing on the information interface state information and the access authority state information in the authority pairing result based on the state information pairing weight between the information interface state information and the access authority state information in the authority pairing result to obtain a state information pairing record.

Step S32, determining the access authority state information with failed state matching as the access authority state information to be processed, and determining the information security index matched with the access authority state information to be processed according to the state information similarity coefficient between the access authority state information in the state information matching record and the access authority state information to be processed.

And step S33, performing state pairing on the information security index matched with the to-be-processed access authority state information and the to-be-processed access authority state information to obtain an index pairing record.

Step S34, determining, according to the index matching record and the state information matching record, information security detection information in the permission matching result and a target information security index corresponding to the information security detection information.

Step S35, generating an information interface adjustment instruction for the first blockchain payment node according to the information security detection information and the target information security index corresponding to the information security detection information, and issuing the information interface adjustment instruction to the first blockchain payment node.

By implementing the steps S31 to S35, the information interface state information and the access authority state information in the authority pairing result can be analyzed, so as to determine the information security detection information corresponding to the authority pairing result and the target information security index corresponding to the information security detection information, and thus, the information interface state and the access authority state of the first blockchain payment node can be compared and analyzed, so that it is ensured that the generated information interface adjustment instruction can guide the first blockchain payment node to perform information interface state adjustment without affecting normal payment services.

In an alternative embodiment, the information interface status information and the access right status information in the acquisition right pairing result described in step S31 may include the following steps S311 to S313.

Step S311, at least two information interface state items and at least two access authority state items in the authority pairing result are obtained; and acquiring interface state similarity coefficients and information interface influence information between the at least two information interface state items, and acquiring authority state similarity coefficients and access authority influence information between the at least two access authority state items.

Step S312, according to the interface state similarity coefficient and the information interface influence information, integrating the at least two information interface state items to obtain information interface state information in the authority pairing result; an information interface status message includes at least one information interface status entry.

Step S313, according to the permission state similarity coefficient and the access permission influence information, integrating the at least two access permission state items to obtain access permission state information in the permission pairing result; an access privilege status information includes at least one access privilege status entry.

In an alternative embodiment, the step S31 of performing state pairing on the information interface state information and the access right state information in the right pairing result based on the state information pairing weight between the information interface state information and the access right state information in the right pairing result to obtain the state information pairing record may include the following steps S31a and S31 b.

Step S31a, determining the access authority state information in the authority pairing result as the calibration access authority state information, and determining the information interface state information in the authority pairing result as the calibration information interface state information; the access right state entries in the calibrated access right state information are determined from real-time monitoring state entries for the right pairing result.

Step S31b, obtaining information interface state items in the real-time monitoring state items; determining an interface state similarity coefficient between an information interface state item in the real-time monitoring state items and an information interface state item in the calibration information interface state information as the state information pairing weight between the calibration access authority state information and the calibration information interface state information; and when the state information pairing weight is greater than or equal to a pairing weight threshold value, performing state pairing on the calibrated access authority state information and the calibrated information interface state information to obtain a state information pairing record.

In an alternative embodiment, the pending access permission status information comprises a first access permission status entry in the permission pairing result; the number of the state information pairing records is at least two; the access right state information in each state information pairing record includes a second access right state item in the right pairing result, and on the basis of the above, the determining, by the step S32, an information security index matching with the to-be-processed access right state information according to the state information similarity coefficient between the access right state information in the state information pairing record and the to-be-processed access right state information may include the following steps S321 to S323.

Step S321, obtaining a first state information security label of the to-be-processed access right state information according to the first access right state item; and respectively acquiring a second state information security label of the access authority state information in each state information pairing record according to the second access authority state items included in each state information pairing record.

Step S322, obtaining the security evaluation information between the first status information security label and the second status information security label corresponding to each status information pairing record; and determining state information similarity coefficients between the access authority state information in each state information pairing record and the to-be-processed access authority state information according to the safety evaluation information to which each state information pairing record belongs.

Step S323, when the number of the target state information matching records is greater than a first set number value and less than or equal to a second set number value, determining an information security index contained in the information interface state information in the target state information matching records as an information security index matched with the to-be-processed access authority state information; the target state information matching record refers to a state information matching record of which the state information similarity coefficient is greater than or equal to a state information similarity coefficient threshold value.

Secondly, for the above information protection method based on big data and blockchain payment, an embodiment of the present invention further provides an exemplary information protection apparatus based on big data and blockchain payment, as shown in fig. 2, the information protection apparatus 200 based on big data and blockchain payment may include the following functional modules.

The obtaining module 210 is configured to obtain order information content and first payment service operation content obtained according to service interaction data generated by a first blockchain payment node in a current payment network, obtain second payment service operation content obtained according to service interaction data generated by a second blockchain payment node in the current payment network, and obtain third payment service operation content obtained according to service interaction data generated by a third blockchain payment node in a target payment network.

A pairing module 220, configured to obtain initial access right information corresponding to the order information content, and perform content pairing on the initial access right information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content, and the initial access right information.

A sending module 230, configured to send an information interface adjustment instruction to the first blockchain payment node according to the permission pairing result between the initial access permission information and the corresponding payment service operation content.

Then, based on the above method embodiment and apparatus embodiment, the embodiment of the present invention further provides a system embodiment, that is, an information protection system based on big data and blockchain payment, please refer to fig. 3 in combination, where the information protection system 30 based on big data and blockchain payment may include a big data server 10 and a blockchain payment node 20. Wherein the big data server 10 and the blockchain payment node 20 communicate with each other to implement the above method, and further, the functionality of the big data and blockchain payment based information protection system 30 is described as follows.

An information protection system based on big data and block chain payment comprises a big data server and a block chain payment node which are communicated with each other; wherein the big data server is configured to:

obtaining order information content and first payment service operation content obtained according to service interaction data generated by a first block chain payment node under a current payment network, obtaining second payment service operation content obtained according to service interaction data generated by a second block chain payment node under the current payment network, and obtaining third payment service operation content obtained according to service interaction data generated by a third block chain payment node under a target payment network;

acquiring initial access authority information corresponding to the order information content, and performing content pairing on the initial access authority information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content and the initial access authority information;

and sending an information interface adjusting instruction to the first block chain payment node according to the permission pairing result of the initial access permission information and the corresponding payment service operation content.

Further, referring to fig. 4 in conjunction, the big data server 10 may include a processing engine 110, a network module 120, and a memory 130, the processing engine 110 and the memory 130 communicating through the network module 120.

Processing engine 110 may process the relevant information and/or data to perform one or more of the functions described herein. For example, in some embodiments, processing engine 110 may include at least one processing engine (e.g., a single core processing engine or a multi-core processor). By way of example only, the Processing engine 110 may include a Central Processing Unit (CPU), an Application-Specific Integrated Circuit (ASIC), an Application-Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.

Network module 120 may facilitate the exchange of information and/or data. In some embodiments, the network module 120 may be any type of wired or wireless network or combination thereof. Merely by way of example, the Network module 120 may include a cable Network, a wired Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a Wireless personal Area Network, a Near Field Communication (NFC) Network, and the like, or any combination thereof. In some embodiments, the network module 120 may include at least one network access point. For example, the network module 120 may include wired or wireless network access points, such as base stations and/or network access points.

The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.

It will be appreciated that the configuration shown in fig. 4 is merely illustrative and that the big data server 10 may also include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.

On the basis of the above, the embodiment of the present invention further provides the following technical solutions.

A1. An information protection method based on big data and blockchain payment, the method comprising:

acquiring order information content and payment service operation content corresponding to the blockchain payment node;

determining initial access authority information corresponding to the order information content, and performing content pairing by combining the payment service operation content;

A2. According to the method as set forth in a1,

obtaining order information content and payment service operation content corresponding to the blockchain payment node, including: obtaining order information content and first payment service operation content obtained according to service interaction data generated by a first block chain payment node under a current payment network, obtaining second payment service operation content obtained according to service interaction data generated by a second block chain payment node under the current payment network, and obtaining third payment service operation content obtained according to service interaction data generated by a third block chain payment node under a target payment network;

determining initial access authority information corresponding to the order information content, and performing content pairing by combining the payment service operation content, wherein the content pairing comprises the following steps: acquiring initial access authority information corresponding to the order information content, and performing content pairing on the initial access authority information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content and the initial access authority information.

A3. According to the method described in a2, acquiring initial access right information corresponding to the order information content, and performing content pairing on the initial access right information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content, and the initial access right information, including:

performing content pairing on the order information content and first payment service operation content matched with the order information content to obtain a first content pairing result, and searching in a service node database according to the order information content to obtain initial access authority information corresponding to the order information content;

performing operation behavior authority identification on the first payment service operation content and the second payment service operation content, and determining dynamic access authority information corresponding to an operation behavior authority identification result to obtain a second content pairing result between the payment service operation content and the dynamic access authority information;

pairing the first payment service operation content and the second payment service operation content according to the third payment service operation content to obtain a third content pairing result between the third payment service operation content and the first payment service operation content or the second payment service operation content;

and performing content pairing on the initial access authority information and corresponding payment service operation content based on the first content pairing result, the second content pairing result, the third content pairing result and the initial access authority information.

Further, for further explanation of the technical solutions a1-A3, reference may be made to the explanation of the method shown in fig. 1, which is not described herein again.

The foregoing disclosure of embodiments of the present invention will be apparent to those skilled in the art. It should be understood that the process of deriving and analyzing technical terms, which are not explained, by those skilled in the art based on the above disclosure is based on the contents described in the present application, and thus the above contents are not an inventive judgment of the overall scheme.

It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware.

It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. An information protection method based on big data and block chain payment, the method comprising:

2. The method of claim 1, wherein obtaining initial access right information corresponding to the order information content, and performing content pairing on the initial access right information and the corresponding payment service operation content according to the first payment service operation content, the second payment service operation content, the third payment service operation content and the initial access right information comprises:

3. The method as claimed in claim 1, wherein the obtaining of the order information content and the first payment service operation content obtained according to the service interaction data generated by the first blockchain payment node in the current payment network, the second payment service operation content obtained according to the service interaction data generated by the second blockchain payment node in the current payment network, and the third payment service operation content obtained according to the service interaction data generated by the third blockchain payment node in the target payment network comprises:

acquiring first service interaction data sent by the first blockchain payment node, second service interaction data sent by the second blockchain payment node and third service interaction data sent by the third blockchain payment node;

analyzing and integrating order information and payment service operation contained in each service interaction event in the first service interaction data respectively to obtain the order information content and the first payment service operation content;

analyzing and integrating payment service operations contained in each service interaction event in the second service interaction data to obtain second payment service operation contents;

analyzing and integrating payment service operations contained in each service interaction event in the third service interaction data to obtain third payment service operation contents;

the business node database comprises a plurality of order information labels and set access authority information corresponding to the order information labels; the searching in the service node database according to the order information content to obtain the initial access authority information corresponding to the order information content includes:

acquiring a target order information label corresponding to the order information content;

and determining the label correlation coefficient of the target order information label and each order information label, and taking the set access authority information corresponding to the order information label with the maximum label correlation coefficient as the initial access authority information.

4. The method according to claim 2, wherein the performing operation behavior authority identification on the first payment service operation content and the second payment service operation content, and determining dynamic access authority information corresponding to an operation behavior authority identification result to obtain a second content pairing result between the payment service operation content and the dynamic access authority information comprises:

completing the operation content of the first payment service operation content and the second payment service operation content;

calling an operation behavior authority identification model to carry out operation behavior authority identification on the first payment service operation content and the second payment service operation content after operation content completion so as to obtain an operation behavior portrait;

searching payment service operation information according to the operation behavior portrait to acquire dynamic access authority information corresponding to the operation behavior portrait, and determining a second content matching result according to the matching relationship between the operation behavior portrait and the dynamic access authority information;

the calling operation behavior authority recognition model carries out operation behavior authority recognition on the first payment service operation content and the second payment service operation content after the completion of the operation content so as to obtain an operation behavior portrait, and the calling operation behavior authority recognition model comprises the following steps:

respectively carrying out portrait recognition on the first payment service operation content and the second payment service operation content to acquire a first content portrait label corresponding to the first payment service operation content and a second content portrait label corresponding to the second payment service operation content;

and determining tag correlation coefficients among the first content portrait tags, among the second content portrait tags and between the first content portrait tags and the second content portrait tags, and performing operation behavior authority identification on the first payment service operation content and the second payment service operation content according to the tag correlation coefficients to obtain the operation behavior portrait.

5. The method of claim 4, wherein the number of the operation behavior images is multiple, and each operation behavior image includes one or more payment service operation contents; the searching of payment service operation information according to the operation behavior portrait to acquire dynamic access authority information corresponding to the operation behavior portrait comprises the following steps:

obtaining a global operation security detection result of each payment business operation content in each operation behavior portrait, and determining a target operation behavior portrait according to the global operation security detection result;

acquiring a global portrait label corresponding to the target operation behavior portrait, and searching in a payment service operation information base according to the global portrait label to acquire an access authority searching result corresponding to the target operation behavior portrait;

determining the dynamic access authority information according to the access authority searching result;

the obtaining of the global operation security detection result of each payment service operation content in each operation behavior portrait and determining a target operation behavior portrait according to the global operation security detection result include:

obtaining operation safety detection results of payment business operations corresponding to dynamic business interaction events contained in the payment business operation contents;

determining the overall operation safety detection result of each payment service operation content according to the operation safety detection result of the payment service operation and the number of the dynamic service interaction events;

comparing the global operation security detection result of each payment service operation content in each operation behavior portrait with a preset operation security detection level;

when the operation security level corresponding to the global operation security detection result of all payment service operation contents in the operation behavior portrait is greater than or equal to the preset operation security detection level, taking the operation behavior portrait as the target operation behavior portrait;

wherein, the acquiring a global portrait label corresponding to the target operation behavior portrait comprises:

sequencing the payment business operation contents in the target operation behavior portrait from large to small according to the operation safety level of the overall operation safety detection result;

the method comprises the steps of sequentially obtaining a first preset number of payment business operation contents, determining a first global content portrait label according to the content portrait labels of the first preset number of payment business operation contents, and taking the first global content portrait label as the global portrait label.

6. The method according to claim 5, wherein the payment service operation information base comprises identification information of a plurality of payment service operation information and payment service operation contents completed by a plurality of operation contents corresponding to the identification information of each of the payment service operation information; the searching in the payment service operation information base according to the global portrait label to obtain the access authority searching result corresponding to the target operation behavior portrait comprises the following steps:

traversing the identification information of each payment service operation information, and determining the global operation safety detection result of the payment service operation content after the completion of a plurality of operation contents corresponding to the identification information of the payment service operation information;

sequencing the payment service operation contents after completion of the plurality of operation contents corresponding to the identification information of the payment service operation information according to the operation safety level of the overall operation safety detection result from large to small, and sequentially acquiring a second preset number of target payment service operation contents after completion of the operation contents;

determining a second global content portrait label corresponding to the identification information of the payment service operation information according to the content portrait label of the target payment service operation content after the completion of the operation content;

determining a tag correlation coefficient between the global portrait tag and the second global content portrait tag to obtain an access permission search result corresponding to the target operation behavior portrait;

wherein the determining the dynamic access authority information according to the access authority search result includes:

acquiring a target access authority searching result with the highest access authority level corresponding to the target operation behavior picture, and comparing the highest access authority level with a set access authority level;

when the highest access authority level is larger than the set access authority level, generating the dynamic access authority information according to the identification information of the payment service operation information corresponding to the highest access authority level;

and when the highest access authority level is less than or equal to the set access authority level, generating the dynamic access authority information according to the payment service operation content of the global operation security detection result with the highest operation security level in the target operation behavior portrait.

7. The method of claim 2, wherein the pairing between the first payment service operation content and the second payment service operation content according to the third payment service operation content to obtain a third content pairing result between the third payment service operation content and the first payment service operation content or the second payment service operation content comprises:

performing image recognition on the third payment service operation content to acquire a third content portrait label, and performing image recognition on the first payment service operation content and the second payment service operation content to acquire a fourth content portrait label and a fifth content portrait label respectively;

determining a tag correlation coefficient between the third content representation tag and the fourth content representation tag and between the third content representation tag and the fifth content representation tag;

and performing content pairing on the third payment service operation content corresponding to the highest tag correlation coefficient and the first payment service operation content or performing content pairing on the third payment service operation content corresponding to the highest tag correlation coefficient and the second payment service operation content to obtain a third content pairing result.

8. The method of claim 2, wherein performing content pairing on the initial access right information and corresponding payment service operation content based on the first content pairing result, the second content pairing result, the third content pairing result and the initial access right information comprises:

determining an access authority tag set according to the pairing item corresponding to the first content pairing result, the pairing item corresponding to the second content pairing result and the pairing item corresponding to the third content pairing result, wherein the access authority tag set comprises j different access authority tags, and j is an integer greater than 1;

acquiring a permission interception tag set according to the access permission tag set, wherein the permission interception tag set comprises j different permission interception tags;

based on the access authority label set, acquiring an access authority category information set through a first authority category identification layer included in a label identification network, wherein the access authority category information set comprises j pieces of access authority category information;

based on the permission interception tag set, acquiring an interception permission type information set through a second permission type identification layer included in the tag identification network, wherein the interception permission type information set comprises j pieces of interception permission type information;

based on the access authority category information set and the interception authority category information set, acquiring an authority behavior identification result corresponding to the access authority tag set through an authority behavior matching layer included in the tag identification network; determining content pairing indication information of the access authority label set according to the authority behavior identification result;

performing content pairing on the initial access authority information and corresponding payment service operation content through the content pairing indication information to obtain an authority pairing result of the initial access authority information and the corresponding payment service operation content;

wherein, the acquiring, based on the access permission category information set and the interception permission category information set, a permission behavior identification result corresponding to the access permission tag set through a permission behavior matching layer included in the tag identification network includes:

based on the access authority category information set, acquiring j pieces of first authority category associated information through a first dynamic category analysis layer included in the tag identification network, wherein each piece of first authority category associated information corresponds to one piece of access authority category information;

based on the interception authority category information set, acquiring j pieces of second authority category associated information through a second dynamic category analysis layer included in the tag identification network, wherein each piece of second authority category associated information corresponds to one piece of interception authority category information;

performing information splicing processing on the j first permission type associated information and the j second permission type associated information to obtain j target permission type associated information, wherein each target permission type associated information comprises a first permission type associated information and a second permission type associated information;

acquiring fusion authority category associated information through an authority information fusion layer included in the tag identification network based on the j pieces of target authority category associated information, wherein the fusion authority category associated information is determined according to the j pieces of target authority category associated information and j pieces of information associated weight, and each piece of target authority category associated information corresponds to one information associated weight;

and acquiring an authority behavior identification result corresponding to the access authority label set through an authority behavior matching layer included in the label identification network based on the fusion authority category correlation information.

9. A big data server is characterized by comprising a processing engine, a network module and a memory; the processing engine and the memory communicate through the network module, the processing engine reading a computer program from the memory and operating to perform the method of any of claims 1-8.

10. A computer storage medium, having stored thereon a computer program which, when executed, implements the method of any one of claims 1-8.