CN112837060B

CN112837060B - Payment business processing method for block chain security protection and digital financial platform

Info

Publication number: CN112837060B
Application number: CN202110034954.4A
Authority: CN
Inventors: 曹燕
Original assignee: Sino Parsons Technology Beijing Co ltd
Current assignee: Sino Parsons Technology Beijing Co ltd
Priority date: 2021-01-12
Filing date: 2021-01-12
Publication date: 2022-05-03
Anticipated expiration: 2041-01-12
Also published as: CN112837060A

Abstract

In consideration of the fact that the data calculation amount for calculating the payment protection strategy reference characteristics of all topology members in the whole payment relationship topology model is large and the business progress of efficient strategy updating is difficult to meet, the reference payment relationship topology model is configured on the basis of the new payment nominal identity and the existing basic payment relationship topology model, namely, part of model characteristic details of the basic payment relationship topology model involved in determining the payment protection strategy reference information of the new payment nominal identity are used for increasing the reference characteristics and reducing the data calculation amount, so that the updating real-time performance of the payment protection strategy reference information of the new payment nominal identity is higher, and the business progress of efficient strategy updating is better met.

Description

Payment business processing method for block chain security protection and digital financial platform

Technical Field

The application relates to the technical field of block chain payment services, in particular to a payment service processing method and a digital financial platform for block chain security protection.

Background

The Blockchain (Blockchain) refers to a technical scheme for collectively maintaining a reliable database in a decentralized and distrust manner. In the innovation and application exploration of the block chain, finance is the most important field, and at present, the main block chain application exploration and practice are also spread around the finance field. In the financial field, the block chain technology has wide application prospects in aspects of digital currency, payment clearing, intelligent contracts, financial transactions, Internet of things finance and the like. Typical applications include electronic currencies such as bitcoin, letelc, etc., more secure open distributed accounting systems, payment clearing systems, etc.

Compared with third-party payment, block chain payment is decentralized, namely, national accounting is carried out, an account cannot be stolen, the safety factor is higher, a website is maintained together, and on the contrary, third-party payment is risks of embezzlement, undiscovered software bugs and the like, so that a user can worry that the account is stolen. Even so, other marginalized payments cannot be completely replaced before the blockchain payment is applied in a large scale, and in the payment process, the problem of payment security needs to be considered.

In the process of generating the abnormal payment event, a large amount of payment service data generated by a plurality of payment service processes in the blockchain financial payment item may be correlated, so as to determine a target abnormal payment event of the payment service in the blockchain financial payment item, so as to be used for various applications related to the abnormal payment event, for example, performing related payment protection policy update by using the abnormal payment event, and the like. However, in the process of updating the payment protection policy based on the abnormal payment event, for the newly added payment nominal identity, all data sets are usually adopted for calculation, so that the data calculation amount is increased, and the business progress of efficient policy updating is difficult to meet.

Disclosure of Invention

In order to overcome at least the above-mentioned deficiencies in the prior art, the present application aims to provide a payment transaction processing method and a digital financial platform for blockchain security protection, which take into account that the data calculation amount for calculating the payment protection policy reference characteristics of all topology members in the entire payment relationship topology model is large, and it is difficult to satisfy the transaction progress of efficient policy update, the reference characteristics are increased and the data calculation amount is reduced by configuring a reference payment relation topological model based on the new payment nominal identity and the existing basic payment relation topological model, namely partial model characteristic details of the basic payment relation topological model involved in determining the payment protection strategy reference information of the new payment nominal identity, therefore, the updating instantaneity of the payment protection strategy reference information of the new payment nominal identity is higher, and the business progress of efficient strategy updating is better met.

In a first aspect, the present application provides a payment transaction processing method for blockchain security protection, which is applied to a digital financial platform, where the digital financial platform is in communication connection with a plurality of blockchain node terminals, and the method includes:

sending safety protection strategy updating information to a block chain node terminal corresponding to a payment service according to a target abnormal payment event of the payment service in a block chain financial payment project;

acquiring the latest payment record information returned by the blockchain node terminal aiming at the safety protection strategy updating information, and acquiring a basic payment relationship topological model from the latest payment record information, wherein one topological member in the basic payment relationship topological model corresponds to one basic payment nominal identity, and an association log among the topological members in the basic payment relationship topological model is used for representing a payment contact event among the basic payment nominal identities;

configuring a reference payment relationship topological model according to payment transaction information of a newly-added new payment nominal identity and the basic payment relationship topological model, wherein at least two topological members in the reference payment relationship topological model are respectively used for representing the new payment nominal identity and a plurality of basic payment nominal identities having payment contact events with the new payment nominal identity, and a plurality of associated logs among the topological members in the reference payment relationship topological model are respectively used for representing the payment contact events between the new payment nominal identity and the plurality of basic payment nominal identities;

and determining the payment protection strategy reference information of the new payment nominal identity according to the reference payment relationship topological model, and updating the payment protection strategy of the newly added new payment nominal identity based on the payment protection strategy reference information, wherein the payment protection strategy reference information is used for representing the transaction characteristics of the payment protection strategy of the new payment nominal identity and the payment contact characteristics between the new payment nominal identity and the plurality of basic payment nominal identities.

In a possible example design of the first aspect, the step of configuring a reference payment relationship topology model according to the payment transaction information of the newly joined new payment nominal identity and the basic payment relationship topology model includes:

determining a target payment contact event from at least one payment contact event indicated by the basic payment relationship topological model according to the blockchain financial payment service label of the basic payment relationship topological model;

determining a plurality of basic payment nominal identities having the target payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity and the basic payment relationship topological model;

and configuring a reference payment relation topological model according to the target payment contact event, the new payment nominal identity and the plurality of basic payment nominal identities.

In one possible example design of the first aspect, the target payment contact event is a near relation payment contact event and an interval near relation payment contact event;

the step of determining a plurality of basic payment nominal identities having the target payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity and the basic payment relationship topology model comprises:

and determining a plurality of basic payment nominal identities having the close relation payment contact event with the new payment nominal identity and a plurality of basic payment nominal identities having an interval close relation payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity and the basic payment relation topological model.

In a possible example design of the first aspect, the step of configuring a reference payment relationship topology model according to the target payment contact event includes:

configuring topological members of a reference payment relation topological model according to the new payment nominal identity and the plurality of basic payment nominal identities, wherein one topological member corresponds to one payment nominal identity;

and configuring an association log among the topological members according to the target payment contact event to obtain a reference payment relationship topological model.

In one possible example design of the first aspect, after the step of configuring a reference payment relationship topology model according to the target payment contact event, the method further includes:

determining a first subscription activity degree after the non-subscription active topology members in the reference payment relation topology model become subscription active topology members one by one according to hierarchy division;

and responding to the first subscription activity degree being larger than a second subscription activity degree, changing the non-subscription active topology member into a subscription active topology member, wherein the second subscription activity degree is the subscription activity degree of the reference payment relation topology model before the non-subscription active topology member becomes the subscription active topology member.

In a possible example design of the first aspect, the step of determining the payment protection policy reference information of the new payment nominal identity according to the reference payment relationship topology model includes:

performing feature extraction on the reference payment relationship topological model, and determining payment contact features of the payment relationship topological model between the payment nominal identities corresponding to at least two topological members in the reference payment relationship topological model;

respectively extracting the characteristics of payment transaction information of the payment nominal identity corresponding to at least two topological members in the reference payment relation topological model to obtain transaction characteristics of a payment protection strategy of the payment relation topological model;

and determining the payment protection strategy reference information of the new payment nominal identity according to the payment contact characteristics of the payment relational topology model and the transaction characteristics of the payment protection strategy of the payment relational topology model.

In a possible example design of the first aspect, the step of determining the payment protection policy reference information of the new payment nominal identity according to the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection policy of the payment relationship topology model includes:

obtaining a plurality of protection strategy indexes determined according to a plurality of topology members in the basic payment relationship topology model, wherein the protection strategy indexes are used for calculating a group of protection strategy information and returning a calculation result;

acquiring a payment protection strategy learning network, and taking the protection strategy indexes as parameters of the payment protection strategy learning network;

splicing the payment contact characteristics of the payment relation topology model and the transaction characteristics of the payment protection strategy of the payment relation topology model to obtain splicing characteristics;

and performing payment protection strategy learning feature extraction on the splicing feature based on the payment protection strategy learning network, determining the obtained strategy learning feature as a payment protection strategy reference feature of the new payment nominal identity, and taking the payment protection strategy reference feature as payment protection strategy reference information of the new payment nominal identity.

In a second aspect, an embodiment of the present application further provides a payment transaction processing apparatus for blockchain security protection, which is applied to a digital financial platform, where the digital financial platform is communicatively connected to a plurality of blockchain node terminals, and the apparatus includes:

the system comprises a sending module, a block chain financial payment item processing module and a safety protection strategy updating module, wherein the sending module is used for sending safety protection strategy updating information to a block chain node terminal corresponding to a payment service according to a target abnormal payment event of the payment service in the block chain financial payment item;

an obtaining module, configured to obtain latest payment record information returned by the block link point terminal for the security policy update information, and obtain a basic payment relationship topology model from the latest payment record information, where one topology member in the basic payment relationship topology model corresponds to one basic payment nominal identity, and an association log between topology members in the basic payment relationship topology model is used to represent a payment contact event between the basic payment nominal identities;

a configuration module, configured to configure a reference payment relationship topology model according to payment transaction information of a newly joined new payment nominal identity and the basic payment relationship topology model, where at least two topology members in the reference payment relationship topology model are respectively used to represent the new payment nominal identity and a plurality of basic payment nominal identities having a payment contact event with the new payment nominal identity, and a plurality of association logs between topology members in the reference payment relationship topology model are respectively used to represent payment contact events between the new payment nominal identity and the plurality of basic payment nominal identities;

and the updating module is used for determining the payment protection strategy reference information of the new payment nominal identity according to the reference payment relation topological model so as to update the payment protection strategy of the newly added new payment nominal identity based on the payment protection strategy reference information, wherein the payment protection strategy reference information is used for representing the transaction characteristics of the payment protection strategy of the new payment nominal identity and the payment contact characteristics between the new payment nominal identity and the plurality of basic payment nominal identities.

In a third aspect, an embodiment of the present application further provides a payment service processing system for blockchain security protection, where the payment service processing system for blockchain security protection includes a digital financial platform and a plurality of blockchain node terminals communicatively connected to the digital financial platform;

the digital financial platform is used for:

In a fourth aspect, the present invention further provides a digital financial platform, where the digital financial platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to a plurality of block-chain node terminals, the machine-readable storage medium is configured to store a program, instructions, or codes, and the processor is configured to execute the program, instructions, or codes in the machine-readable storage medium to perform the method for processing payment services for block chain security protection in the first aspect or any one of the possible design examples in the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed, the computer executes the method for processing payment traffic for blockchain security protection in the first aspect or any one of the possible design examples of the first aspect.

According to any one of the aspects, in consideration of the fact that the data calculation amount for calculating the payment protection policy reference features of all topology members in the whole payment relationship topology model is large and the business progress of efficient policy updating is difficult to meet, the reference payment relationship topology model is configured based on the new payment nominal identity and the existing basic payment relationship topology model, namely, the reference features are increased and the data calculation amount is reduced by determining part of model feature details of the basic payment relationship topology model involved in the payment protection policy reference information of the new payment nominal identity, so that the updating instantaneity of the payment protection policy reference information of the new payment identity is higher, and the business progress of efficient policy updating is better met.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that need to be called in the embodiments are briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

Fig. 1 is a schematic application scenario diagram of a payment transaction processing system for blockchain security protection according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a payment service processing method for blockchain security protection according to an embodiment of the present disclosure;

fig. 3 is a functional block diagram of a payment transaction processing apparatus for blockchain security protection according to an embodiment of the present disclosure;

fig. 4 is a schematic block diagram of structural components of a digital financial platform for implementing the payment transaction processing method for blockchain security protection according to an embodiment of the present disclosure.

Detailed Description

The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.

Fig. 1 is a schematic contact diagram of a payment transaction processing system 10 for blockchain security protection according to an embodiment of the present application. The payment transaction system 10 for blockchain security protection may include a digital financial platform 100 and a blockchain endpoint terminal 200 communicatively connected to the digital financial platform 100. The payment transaction system 10 for blockchain security shown in fig. 1 is only one possible example, and in other possible embodiments, the payment transaction system 10 for blockchain security may also include only at least some of the components shown in fig. 1 or may also include other components.

According to the invention concept of the technical solution provided by the present application, the digital financial platform 100 provided by the present application may be applied to a scenario where a big data technology or a cloud computing technology may be applied, such as smart medical care, smart city management, smart industrial internet, and general service monitoring management, and for example, may also be applied to, but not limited to, new energy vehicle system management, smart cloud office, cloud platform data processing, cloud game data processing, cloud live broadcast processing, cloud vehicle management platform, block chain financial service platform, and the like.

In this embodiment, the digital financial platform 100 and the blockchain node terminal 200 in the payment transaction processing system 10 for blockchain security protection may cooperate to execute the payment transaction processing method for blockchain security protection described in the following method embodiments, and the detailed description of the method embodiments below may be referred to in the specific steps executed by the digital financial platform 100 and the blockchain node terminal 200.

To solve the technical problem in the foregoing background, fig. 2 is a schematic flow chart of a payment service processing method for blockchain security protection according to an embodiment of the present application, where the payment service processing method for blockchain security protection according to the present embodiment may be executed by the digital financial platform 100 shown in fig. 1, and the payment service processing method for blockchain security protection is described in detail below.

Step S110, according to the target abnormal payment event of the payment service in the blockchain financial payment project, sending security protection policy update information to the blockchain node terminal 200 corresponding to the payment service.

Step S120, obtaining the latest payment record information returned by the blockchain node terminal 200 for the security policy update information, and obtaining the basic payment relationship topology model from the latest payment record information.

In this embodiment, one topology member in the basic payment relationship topology model corresponds to one basic payment nominal identity, and the association log between the topology members in the basic payment relationship topology model is used to represent the payment contact event between the basic payment nominal identities.

In this embodiment, the payment contact event may represent payment contact events generated by various different users, for example, a close relation payment contact event (for example, an event that a user corresponding to a payment nominal identity directly performs a payment operation for a certain payment service) or an interval close relation payment contact event (for example, an event that a third party or another method performs a payment operation for a certain payment service through a user corresponding to a payment nominal identity), and the like, which is not limited in this embodiment. The payment nominal identity may be understood as a specific user, such as, but not limited to, a personal user, a business user, a group user, etc.

And step S130, configuring a reference payment relation topological model according to the payment transaction information of the new payment nominal identity and the basic payment relation topological model.

In this embodiment, at least two topology members in the reference payment relationship topology model are respectively used to represent the new payment nominal identity and a plurality of basic payment nominal identities having a payment contact event with the new payment nominal identity, and a plurality of association logs between topology members in the reference payment relationship topology model are respectively used to represent the payment contact event between the new payment nominal identity and the plurality of basic payment nominal identities.

In one possible design example, after the basic payment relationship topology model is obtained, a basic payment nominal identity having a payment contact event with the new payment nominal identity can be obtained from the basic payment relationship topology model according to payment transaction information of the new payment nominal identity, and then the reference payment relationship topology model is configured by taking the new payment nominal identity and the obtained basic payment nominal identity as topology members, and taking the payment contact events among the topology members as an association log. That is, the reference payment relationship topology model includes a plurality of topology members having payment connection events, and when a new topology member needs to be added to the basic payment relationship topology model, if a new added new payment nominal identity exists, a reference payment relationship topology model can be configured according to the payment connection event between the new added new payment nominal identity and a basic payment nominal identity corresponding to the topology member in the basic payment relationship topology model, and the reference payment relationship topology model is a part of model feature details of the basic payment relationship topology model.

Step S140, determining the payment protection policy reference information of the new payment nominal identity according to the reference payment relationship topology model, and performing payment protection policy update on the newly added new payment nominal identity based on the payment protection policy reference information, where the payment protection policy reference information is used to indicate transaction characteristics of the payment protection policy of the new payment nominal identity and payment contact characteristics between the new payment nominal identity and the plurality of basic payment nominal identities.

In a possible design example, after the reference payment relationship topological model is configured, feature extraction can be performed on the reference payment relationship topological model to obtain payment contact features of the payment relationship topological model between the payment nominal identities corresponding to the topological members, and feature extraction can also be performed on the payment nominal identities corresponding to the topological members to obtain transaction features of the payment protection strategy of the payment relationship topological model. And processing the payment contact characteristics of the payment relation topological model and the transaction characteristics of the payment protection strategy of the payment relation topological model based on the payment protection strategy learning network to obtain the payment protection strategy reference characteristics of the new payment nominal identity, and determining the payment protection strategy reference characteristics as the payment protection strategy reference information of the new payment nominal identity.

It should be noted that the payment protection policy learning network may be, but is not limited to, an induction learning algorithm, so that the payment protection policy learning network can calculate the payment protection policy reference feature of the new payment nominal identity without retraining, thereby obtaining the payment protection policy reference information of the new payment nominal identity.

In one possible design example, in the process of updating the payment protection policy for the newly added new payment nominal identity based on the payment protection policy reference information, the corresponding security protection policy template may be matched based on the keyword associated with the portrait feature in the payment protection policy reference information, and the matched content may be sent to the block-node terminal 200 as the security protection policy information.

Based on the above steps, in the embodiment, in consideration of the fact that the data calculation amount for calculating the payment protection policy reference features of all topology members in the whole payment relationship topology model is large and the business progress of efficient policy update is difficult to satisfy, the reference features are increased and the data calculation amount is reduced by configuring the reference payment relationship topology model based on the new payment nominal identity and the existing basic payment relationship topology model, that is, by determining part of model feature details of the basic payment relationship topology model involved in the payment protection policy reference information of the new payment nominal identity, so that the update instantaneity of the payment protection policy reference information of the new payment nominal identity is higher, and the business progress of efficient policy update is better satisfied.

In one possible design example, the aforementioned transaction characteristic determination manner of the payment protection policy based on the payment relationship topology model may be implemented by the following exemplary embodiments.

In one possible design example, the payment transaction information of the new payment nominal identity may be data that the new payment nominal identity has been updated for the business service, including updated attribute information of the new payment nominal identity, such as, but not limited to, a payment setting habit of the payment business, a payment setting interval of the payment business, a payment setting verification manner of the payment business, a user business responsibility of the payment business, and a subscription active order of the payment business. After acquiring the basic payment relationship topology model, the digital financial platform 100 can acquire the basic payment nominal identity having the payment contact event with the new payment nominal identity from the basic payment relationship topology model according to the payment transaction information of the new payment nominal identity, and then configure the reference payment relationship topology model by taking the new payment nominal identity and the acquired basic payment nominal identity as topology members, and taking the payment contact event between the payment nominal identities as an association log. That is, the reference payment relationship topology model includes a plurality of topology members having payment contact events, and one topology member corresponds to one payment nominal identity, that is, one topology member corresponds to one basic payment nominal identity or corresponds to a new payment nominal identity. When a new registered payment nominal identity exists, a new topological member needs to be added into the basic payment relationship topological model, and the digital financial platform 100 can configure a reference payment relationship topological model according to a payment contact event between the new added payment nominal identity and a basic payment nominal identity corresponding to the topological member in the basic payment relationship topological model, wherein the reference payment relationship topological model is part of model feature details of the basic payment relationship topological model.

In one possible design example, the payment contact event relates to a blockchain financial payment business label of the underlying payment relationship topology model. Correspondingly, the step of configuring the reference payment relationship topology model by the digital financial platform 100 according to the payment transaction information of the new payment nominal identity and the basic payment relationship topology model may be: the digital financial platform 100 determines a target payment contact event from at least one payment contact event indicated by the basic payment relationship topology model according to the blockchain financial payment service tag of the basic payment relationship topology model. Then, the digital financial platform 100 determines a plurality of basic payment nominal identities having the target payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity and the basic payment relationship topological model. Finally, the digital financial platform 100 configures a reference payment relationship topology model according to the target payment contact event, the new payment nominal identity and the plurality of basic payment nominal identities. At least one payment contact event can be arranged between the basic payment nominal identities corresponding to the topology members in the basic payment relationship topology model, such as a near relationship payment contact event, an interval near relationship payment contact event and the like, and different payment contact events can have block chain financial payment service labels of different levels. By determining the target payment contact event for configuring the reference payment relationship topology model according to the blockchain financial payment service label of the basic payment relationship topology model, the configured reference payment relationship topology model can better accord with the map class details and the blockchain financial payment service label of the basic payment relationship topology model.

In one possible design example, the target payment contact event is a near relation payment contact event and a near relation interval payment contact event, wherein the near relation interval payment contact event means that if one payment nominal identity does not have a near relation payment contact event with another payment nominal identity but has a near relation payment contact event with the same payment nominal identity, the two payment nominal identities are the near relation interval payment contact event, in short, the attention of one payment nominal identity, or the attention payment service of the subscribed or browsed payment service has a near relation interval payment contact event with the payment nominal identity. Accordingly, the digital financial platform 100 may determine the payment transaction information and the underlying payment relationship topology model according to the new payment nominal identity. On this basis, the step of determining a plurality of basic payment nominal identities having a target payment contact event with the new payment nominal identity may be: the digital financial platform 100 can determine a plurality of basic payment nominal identities having a close relationship payment contact event with the new payment nominal identity and a plurality of basic payment nominal identities having an alternate close relationship payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity and the basic payment relationship topological model.

For example, taking the blockchain financial payment service tag of the basic payment relationship topology model as the smart medical service tag as an example, the digital financial platform 100 can obtain the target payment nominal identity identifiers of the plurality of payment nominal identities establishing the close relationship payment contact event with the new payment nominal identity according to the payment transaction information of the new payment nominal identity, then determine a plurality of basic payment nominal identities having the target payment nominal identity identifier from the basic payment nominal identities corresponding to the topology members in the basic payment relationship topology model according to the target payment nominal identity identifiers of the plurality of payment nominal identities, and then obtain a plurality of basic payment nominal identities having the close relationship payment contact event with the plurality of basic payment nominal identities according to the basic payment relationship topology model, that is, obtain a plurality of basic payment nominal identity having the close relationship payment contact event with the new nominal payment identity at intervals Identity.

In one possible design example, the step of configuring the reference payment relationship topology model by the digital financial platform 100 according to the target payment contact event is as follows: the digital financial platform 100 configures topology members of the reference payment relationship topology model according to the new payment nominal identity and the plurality of basic payment nominal identities, wherein one topology member corresponds to one payment nominal identity, that is, one topology member corresponds to the new payment nominal identity or the basic payment nominal identity. Then, the digital financial platform 100 configures an association log between topology members according to the target payment contact event to obtain a reference payment relationship topology model.

Next, the digital financial platform 100 may also perform an optimization process on the reference payment relationship topology model.

In one possible design example, after configuring the reference payment relationship topology model, the digital financial platform 100 can further process the reference payment relationship topology model to reduce the number of topology members and associated logs in the reference payment relationship topology model, so as to reduce the amount of data calculation when determining the payment protection policy reference information of the new payment nominal identity, that is, when calculating the payment protection policy reference feature. In a possible design example, the digital financial platform 100 can optimize the reference payment relationship topology model configured in the above steps in different ways according to different algorithms used in calculating the payment protection policy reference features. For example, optimization processing is performed in a random sampling manner, which is not limited in the embodiment of the present application.

In one possible design example, the step of the digital financial platform 100 performing optimization processing on the reference payment relationship topology model may be: the digital financial platform 100 determines a first subscription liveness after the non-subscribing active topology members in the reference payment relationship topology model become subscribing active topology members one by one according to hierarchical division. And for any non-subscription active topology member, responding to the fact that the first subscription activity degree corresponding to the non-subscription active topology member is larger than the second subscription activity degree, and changing the non-subscription active topology member into a subscription active topology member. And the second subscription activity is the subscription activity of the reference payment relationship topology model before the non-subscription active topology member becomes the subscription active topology member. By changing the non-subscription active topology member into the subscription active topology member, the number of topology members and associated logs in the reference payment relationship topology model is reduced on the premise of not reducing the performance of the payment relationship topology model, so that the data calculation amount is reduced, and the calculation efficiency is improved.

In a possible design example, the digital financial platform 100 may further optimize the reference payment relationship topology model according to the blockchain financial payment service tag, so as to improve the configuration efficiency of the reference payment relationship topology model, for example, the target payment connection event is a two-layer branching relationship, such as a near relationship payment connection event and an interval near relationship payment connection event, which is not limited in the embodiment of the present application.

For example, taking the graphcage algorithm as an example, for the application of the graphcage algorithm to the smart medical service tag, the reference payment relationship topology model can be configured by adopting the payment attention service of the payment nominal identity and the payment attention service of the payment nominal identity, so as to improve the efficiency of configuring the reference payment relationship topology model.

On the basis, the digital financial platform 100 determines the payment protection policy reference information of the new payment nominal identity according to the reference payment relationship topological model, wherein the payment protection policy reference information is used for representing the transaction characteristics of the payment protection policy of the new payment nominal identity and the payment connection characteristics between the new payment nominal identity and the plurality of basic payment nominal identities.

In a possible design example, after the digital financial platform 100 configures and obtains the reference payment relationship topological model, the topological structure of the reference payment relationship topological model may be obtained, and the digital financial platform 100 may perform feature extraction on the reference payment relationship topological model based on the topological structure, and determine payment connection features of the payment relationship topological model between the payment nominal identities corresponding to at least two topological members in the reference payment relationship topological model. Then, the digital financial platform 100 can also perform feature extraction on the payment transaction information corresponding to at least two topology members in the reference payment relationship topology model, so as to obtain the transaction features of the payment protection policy of the payment relationship topology model. The digital financial platform 100 determines the payment protection policy reference information of the new payment nominal identity according to the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection policy of the payment relationship topology model. By respectively extracting the characteristics of the payment transaction information and the reference payment relation topological model, the obtained payment protection strategy reference information can represent the transaction characteristics of the payment protection strategy of the new payment nominal identity and the payment connection characteristics between the new payment nominal identity and the basic payment nominal identity, and therefore the payment protection strategy reference characteristics of the new payment nominal identity can be accurately determined based on the payment protection strategy reference information.

It should be noted that, after obtaining the payment connection characteristics of the payment relationship topology model and the payment nominal identity of the payment relationship topology model, the digital financial platform 100 may also perform preprocessing on the characteristics, such as data cleaning, removing unnecessary characteristics and error characteristics, and then perform normalization processing on the characteristics according to the characteristic types, so as to facilitate subsequent calculation. The embodiment of the present application does not limit this.

In one possible design example, the digital financial platform 100 can determine a plurality of protection policy indices from a plurality of topology members in the underlying payment relationship topology model, which can be used to compute payment protection policy reference characteristics for newly joining topology members.

Accordingly, when determining the payment protection policy reference information of the new payment nominal identity, the digital financial platform 100 may obtain a plurality of protection policy indexes determined according to a plurality of topology members in the basic payment relationship topology model, where the protection policy indexes are used to calculate a set of protection policy information and return a calculation result.

Then, the digital financial platform 100 calculates the payment protection policy reference feature according to the plurality of protection policy indexes, the payment contact feature of the payment relationship topology model, and the transaction feature of the payment protection policy of the payment relationship topology model, determines the payment protection policy reference feature of the new payment nominal identity, and uses the payment protection policy reference feature as the payment protection policy reference information of the new payment nominal identity.

By obtaining the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection strategy of the payment relationship topology model, the digital financial platform 100 can calculate the payment protection strategy reference characteristics of the new payment nominal identity based on the protection strategy indexes corresponding to other topology members, so that the payment protection strategy reference characteristics of the new payment nominal identity can be determined more accurately.

For example, the GraphSAGE algorithm can perform two-layer learning on each topology member in the basic payment relationship topology model, generate a series of protection policy indexes according to the obtained characteristics, wherein each topology member corresponds to one protection policy index, and calculate to obtain a policy learning feature vector of a new payment nominal identity through the protection policy indexes, the transaction characteristics of the payment protection policy of the payment relationship topology model and the payment contact characteristics of the payment relationship topology model.

In one possible design example, the digital financial platform 100 may obtain a payment protection policy learning network, use the plurality of protection policy indexes as parameters of the payment protection policy learning network, process the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection policy of the payment relationship topology model based on the payment protection policy learning network, and determine the payment protection policy reference characteristics of the new payment nominal identity. Wherein the payment protection policy learning network is configured based on an inductive learning class diagram algorithm.

The digital financial platform 100 can splice the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection strategy of the payment relationship topology model to obtain the splicing characteristics. And then, based on the payment protection strategy learning network, performing payment protection strategy learning characteristic extraction on the splicing characteristic, and determining the obtained strategy learning characteristic as a payment protection strategy reference characteristic of the new payment nominal identity.

Because the payment protection strategy learning network is configured based on the induction learning class diagram algorithm, when a new topological member is added into the basic payment relationship topological model, the payment protection strategy reference characteristic of the payment nominal identity corresponding to the newly added topological member can be determined without retraining the payment protection strategy learning network.

It should be noted that, the payment protection policy reference features of the basic payment nominal identity corresponding to each topology member in the basic payment relationship topology model can be called by multiple payment protection models, and the multiple payment protection models are used for implementing at least one payment protection policy, and are not limited specifically. The plurality of online models can be referred to as downstream applications of the underlying payment relationship topology model, and in one possible design example, the plurality of online models are machine learning models, and are not limited in particular.

In one possible design example, the foregoing step S110 may be implemented by the following substeps.

Step S111, determining a first distributed abnormal payment event corresponding to each block chain financial payment service in the plurality of block chain financial payment services based on payment service data of the payment service sent by a payment service process in the plurality of block chain financial payment services through a plurality of abnormal payment event learning models, wherein one abnormal payment event learning model is used for determining a corresponding first distributed abnormal payment event based on the payment service data of the payment service in one block chain financial payment service, and the plurality of block chain financial payment services are obtained by classifying the block chain financial payment items.

For example, in this embodiment, the plurality of partitioned blockchain financial payment services may be directly used.

The payment service data may include a plurality of payment node data, where the plurality of payment node data are payment node data of a payment service in payment service software of a payment service process that sends the payment service data, that is, the payment service process records a payment service in the payment service software, determines the payment service data of the payment service, and sends the payment service data.

In one possible design example, each payment node data may correspond to payment service tag information and a payment service class attribute of a corresponding payment service, the target class attribute may include an overall class attribute and a local class attribute of the payment service, and the target class attribute is obtained by performing class attribute identification on the payment service through a corresponding payment service process.

The abnormal payment event learning model is a program unit of a neural network engine in the digital financial platform 100, and is configured to perform correlation calculation on payment service data in a blockchain financial payment service to obtain a first distribution abnormal payment event of the payment service in the blockchain financial payment service.

In one possible design example, the digital financial platform 100 may receive payment transaction data for a payment transaction sent by a plurality of payment transaction processes within a blockchain financial payment project, the payment service data may include a payment service process tag of a payment service process, and then the digital financial platform 100 sends the payment service data of the payment service sent by a plurality of payment service processes to corresponding abnormal payment event learning models respectively according to the pre-stored payment service process tag of the payment service process included in each block chain financial payment service, sends the payment service data sent by the payment service process included in the same block chain financial payment service to the same abnormal payment event learning model, and then determining a first distribution abnormal payment event corresponding to the block chain financial payment service by an abnormal payment event learning model based on the acquired payment service data of the payment service in the block chain financial payment service.

In one possible design example, determining, by the plurality of abnormal payment event learning models, a specific implementation of a first distributed abnormal payment event corresponding to each of the plurality of blockchain financial payment services based on payment service data of a payment service sent by a payment service process within the plurality of blockchain financial payment services may include: for a first abnormal payment event learning model in the plurality of abnormal payment event learning models, obtaining a second distributed abnormal payment event corresponding to a first block chain financial payment service determined by a last abnormal payment event instance through the first abnormal payment event learning model, wherein the first abnormal payment event learning model is any abnormal payment event learning model in the plurality of abnormal payment event learning models, and the first block chain financial payment service is one block chain financial payment service in the plurality of block chain financial payment services. And determining a first distributed abnormal payment event corresponding to the first block chain financial payment service through a first abnormal payment event learning model based on the acquired second distributed abnormal payment event and the payment service data of the payment service in the first block chain financial payment service.

Wherein, the abnormal payment event instance refers to an instance object or a random trigger instance object. In a possible design example, the abnormal payment events of the payment service are associated periodically, one abnormal payment event instance is a determination process of one abnormal payment event, and the payment service data of the payment service sent by the payment service process is acquired every time one abnormal payment event instance is executed.

The number of the second distribution abnormal payment events may be multiple, and each second distribution abnormal payment event may correspondingly include multiple payment node data.

That is to say, for each blockchain financial payment service in the plurality of blockchain financial payment services, the first distribution abnormal payment event corresponding to each blockchain financial payment service may be determined in the manner described above. Taking the first blockchain financial payment service as an example, in one blockchain financial payment service, abnormal payment events of the same payment service in different abnormal payment event instances need to be associated, that is, the abnormal payment events of the same payment service in different abnormal payment event instances are associated with the same payment service ID, more specifically, the payment service ID of the same payment service is continued from a second distribution abnormal payment event of a last abnormal payment event instance to the payment service data of a next abnormal payment event instance, wherein the payment service ID is used for uniquely identifying one payment service in the blockchain financial payment service. Therefore, it is necessary to obtain, through the first network unit corresponding to the first blockchain financial payment service, a second distribution abnormal payment event corresponding to the first blockchain financial payment service determined by the last abnormal payment event instance, and then determine, according to the second distribution abnormal payment event and the obtained payment service data of the payment service sent by the multiple payment service processes in the first blockchain financial payment service, a first distribution abnormal payment event corresponding to the first blockchain financial payment service.

In a possible design example, the second distribution abnormal payment event may be directly associated with payment service data of a payment service in the first blockchain financial payment service, so as to obtain a first distribution abnormal payment event corresponding to the first blockchain financial payment service.

In a possible design example, for each payment service data in the payment service data of the payment service in the first blockchain financial payment service, an abnormal payment event corresponding to each payment service data may be compared with a second distribution abnormal payment event, a correlation degree between the abnormal payment event corresponding to each payment service data and the second distribution abnormal payment event is determined, if there is a second distribution abnormal payment event whose correlation degree is greater than a correlation degree threshold for the abnormal payment event corresponding to each payment service data, the abnormal payment event corresponding to each payment service data is correlated with the second distribution abnormal payment event whose correlation degree is greater than the correlation degree threshold, and a first distribution abnormal payment event corresponding to the first blockchain financial payment service is obtained.

The correlation degree threshold may be set by a user according to actual needs, or may be set by default by the digital financial platform 100, which is not limited in the embodiment of the present application. For example, the correlation degree threshold may be 0.7.

In a possible design example, taking reference payment business data of a payment business in a first block chain financial payment business as an example, a correlation degree between an abnormal payment event corresponding to the reference payment business data and each second distributed abnormal payment event may be determined, and if there is a second distributed abnormal payment event whose correlation degree is greater than a correlation degree threshold, a payment business ID corresponding to the second distributed abnormal payment event whose correlation degree is greater than the correlation degree threshold is determined as a payment business ID of the reference payment business data.

The reference payment service data is one of the payment service data of the support service in the first block chain financial payment service.

Exemplarily, it is assumed that the first block chain financial payment service in the last abnormal payment event instance includes two second distribution abnormal payment events, payment service IDs corresponding to the two second distribution abnormal payment events are a and B, respectively, and the first block chain financial payment service in the current abnormal payment event instance includes two payment service data, which are denoted as payment service data C and payment service data D. For the payment service data C, the correlation degree of the payment service data C and the abnormal payment event corresponding to the payment service data a and the correlation degree of the payment service data C and the abnormal payment event corresponding to the payment service data B can be determined, if the correlation degree of the payment service data C and the abnormal payment event corresponding to the payment service data a is greater than the correlation degree threshold value, the payment service data C and the abnormal payment event corresponding to the payment service data a can be determined to be the abnormal payment event of the same payment service, and the payment service ID of the payment service data C can be determined to be a. Similarly, for the payment service data D, the correlation degree between the payment service data D and the abnormal payment event corresponding to the payment service data a and the correlation degree between the payment service data D and the abnormal payment event corresponding to the payment service data B can be determined, if the correlation degree between the payment service data D and the abnormal payment event corresponding to the payment service data B is greater than the correlation degree threshold value, it can be determined that the abnormal payment event corresponding to the payment service data D and the abnormal payment event corresponding to the payment service data B is the abnormal payment event of the same payment service, and the payment service ID of the payment service data D can be determined as B. In this way, the objective of associating payment transaction data C and D with the second distribution exception payment event is achieved.

For example, in one possible design example, the specific implementation of determining the correlation degree between the abnormal payment event corresponding to the reference payment service data and the reference second distribution abnormal payment event may include: determining a first correlation degree of a target class attribute in the reference payment business data and a payment business class attribute of a reference second distribution abnormal payment event, and a second correlation degree of a data feature of payment node data farthest from the current time in the reference payment business data and a data feature of payment node data nearest to the current time in the reference second distribution abnormal payment event, weighting, summing and averaging the first correlation degree and the second correlation degree to obtain the correlation degree of the abnormal payment event corresponding to the reference payment business data and the reference second distribution abnormal payment event.

Further, if there is no second distribution abnormal payment event whose correlation degree is greater than the correlation degree threshold, a new payment service ID may be determined for the tag corresponding to the reference payment service data.

In some embodiments, determining, by the first anomalous payment event learning model based on the obtained second distribution anomalous payment event and the payment transaction data of the payment transaction within the first blockchain financial payment transaction, a specific implementation of the first distribution anomalous payment event corresponding to the first blockchain financial payment transaction may include: and if the first abnormal payment event learning model determines that the acquired second distribution abnormal payment event has the legacy payment service data, correlating the payment service data of the payment service in the first block chain financial payment service with the legacy payment service data, wherein the legacy payment service data refers to the second distribution abnormal payment event of which the abnormal identification duration of the payment service data corresponding to the target payment node data in the included payment node data is greater than the threshold of the abnormal identification duration. And performing portrait classification on the associated service operation data through a first abnormal payment event learning model to determine a first distributed abnormal payment event corresponding to the first block chain financial payment service.

The abnormal recognition duration threshold may be set by a user according to actual needs, or may be set by default by the digital financial platform 100, which is not limited in the embodiment of the present application.

In this case, the anomaly identification duration interval of the payment service data corresponding to the destination payment node data refers to the anomaly identification duration interval of the payment service data corresponding to the last payment node data in each second distribution abnormal payment event, that is, the anomaly identification duration interval of the payment service data of the last payment service data included in the second distribution abnormal payment event.

In this implementation manner, the payment service corresponding to the abnormal payment event that has ended in the previous abnormal payment event instance may have left the first blockchain financial payment service, so that there is no payment service data of the payment service in the current abnormal payment event instance, that is, the abnormal payment event corresponding to the payment service data of the payment service in the current abnormal payment event instance is not associated with the abnormal payment event that has ended, if all the acquired second distributed abnormal payment events are associated with the payment service data of the payment service, the data calculation amount of the abnormal payment event learning model is increased, and the time for determining the first distributed abnormal payment event is further increased. Therefore, the legacy payment service data in the acquired second distribution abnormal payment event can be determined, and then the legacy payment service data is associated with the payment service data of the payment service in the first block chain financial payment service, so that the first distribution abnormal payment event corresponding to the first block chain financial payment service is obtained.

In one possible design example, after determining that the legacy payment transaction data exists, a specific implementation of associating the payment transaction data of the payment transaction within the first blockchain financial payment transaction with the legacy payment transaction data may include: for each payment service data in the payment service data of the support service in the first blockchain financial payment service, comparing each payment service data with the legacy payment service data, determining the correlation degree of each payment service data and the legacy payment service data, and if the legacy payment service data with the correlation degree greater than the correlation degree threshold exists in each payment service data, correlating each payment service data with the corresponding legacy payment service data with the correlation degree greater than the correlation degree threshold.

For example, taking the reference payment service data of the payment service in the first blockchain financial payment service as an example, the correlation degree between the abnormal payment event corresponding to the reference payment service data and each legacy payment service data may be determined, and if there is legacy payment service data whose correlation degree is greater than the correlation degree threshold, the payment service ID corresponding to the legacy payment service data whose correlation degree is greater than the correlation degree threshold is determined as the payment service ID of the reference payment service data.

It should be noted that, the specific implementation manner for determining the correlation degree refers to the related description of the previous embodiment, and details of this embodiment are not repeated herein.

Step S112, determining a target abnormal payment event of a payment service in a blockchain financial payment project based on a first distribution abnormal payment event corresponding to each blockchain financial payment service in a plurality of blockchain financial payment services.

In one possible design example, after the first distributed abnormal payment event corresponding to each blockchain financial payment service in the current abnormal payment event instance is determined, abnormal payment event association between blockchain financial payment services can be performed to determine a target abnormal payment event of a payment service in a blockchain financial payment project.

In one possible design example, determining a specific implementation of a target anomalous payment event for a payment transaction within a blockchain financial payment project based on a first distributed anomalous payment event corresponding to each blockchain financial payment transaction of a plurality of blockchain financial payment transactions may include: for each block chain financial payment service in the plurality of block chain financial payment services, if other block chain financial payment services having a financial payment configuration index related to each block chain financial payment service exist in the block chain financial payment items, a target abnormal payment event of the payment service in the block chain financial payment items determined by the last abnormal payment event instance is obtained, and a historical target abnormal payment event is obtained. And if the historical target abnormal payment event comprises abnormal payment events corresponding to other block chain financial payment services having the financial payment configuration index related to each block chain financial payment service, and the historical target abnormal payment event comprises an abnormal payment event of which a first distributed abnormal payment event corresponding to each block chain financial payment service belongs to the same payment service, associating the first distributed abnormal payment event corresponding to each block chain financial payment service with the abnormal payment event belonging to the same payment service in the historical target abnormal payment event. And correlating the abnormal payment events after the correlation of each block chain financial payment service to obtain target abnormal payment events of the payment services in the block chain financial payment items.

That is to say, for each blockchain financial payment service, it may be determined whether there are other blockchain financial payment services having a financial payment configuration index associated with each blockchain financial payment service in the blockchain financial payment item, and if there are other blockchain financial payment services in the blockchain financial payment items, a target abnormal payment event of the payment service in the blockchain financial payment item determined in the last abnormal payment event instance may be obtained. For convenience of description, the acquired target abnormal payment event for supporting the service in the last abnormal payment event instance is referred to as a historical target abnormal payment event.

Judging whether abnormal payment events corresponding to other block chain financial payment services of which the financial payment configuration indexes are associated with each block chain financial payment service exist in the historical target abnormal payment events, if so, judging whether the abnormal payment events of the historical target include abnormal payment events of which the first distributed abnormal payment events corresponding to each block chain financial payment service belong to the same payment service, for convenience of description, referring the abnormal payment events of which the first distributed abnormal payment events corresponding to each block chain financial payment service belong to the same payment service as the same target abnormal payment events, and if the abnormal payment events of the historical target include the abnormal payment events of which the same target corresponds to each block chain financial payment service, associating the first distributed abnormal payment events corresponding to each block chain financial payment service with the abnormal payment events of which the same target corresponds to each block chain financial payment service, and correlating the abnormal payment events after the correlation of each block chain financial payment service to obtain a target abnormal payment event of the payment service in the block chain financial payment project.

In a possible design example, taking a first block chain financial payment service as an example, it may be determined, through a first abnormal payment event learning model, whether there are other block chain financial payment services having financial payment configuration indexes associated with the first block chain financial payment service in a block chain financial payment project, if there are other block chain financial payment services, the digital financial platform 100 may obtain a target abnormal payment event of a payment service within the block chain financial payment project determined by a previous abnormal payment event instance to obtain a historical target abnormal payment event, then determine whether there is an abnormal payment event corresponding to the other block chain financial payment services having financial payment configuration indexes associated with the first block chain financial payment service in the historical target abnormal payment event, if there is an abnormal payment event corresponding to the same payment service in the historical target abnormal payment event, determine whether there is an abnormal payment event of a first distribution abnormal payment event corresponding to the first block chain financial payment service in the historical target abnormal payment event, and if so, associating the first distribution abnormal payment event corresponding to the first block chain financial payment service with the abnormal payment event belonging to the same payment service in the historical target abnormal payment events to obtain the abnormal payment event associated with the first block chain financial payment service.

In a possible design example, on the basis of the above description, the above method may further include the following steps, which are described in detail below.

Step S113, according to the target abnormal payment event of the payment service in the blockchain financial payment item, sending security protection policy update information to the blockchain node terminal 200 corresponding to the payment service.

Among them, the above step S113 may be implemented by the following exemplary substeps.

And a substep S1131, acquiring target security protection strategy node information including the selected security protection strategy template according to the target abnormal payment event, and performing protection strategy reinforcing element identification processing on the target security protection strategy node information to obtain protection strategy reinforcing element information corresponding to the target security protection strategy node information.

And a substep S1132, obtaining a target state machine coding unit corresponding to the target security protection strategy node information, extracting a first state machine code and a second state machine code from the protection strategy reinforcing element information through the target state machine coding unit, and splicing the first state machine code and the second state machine code to obtain a global state machine code of the protection strategy reinforcing element information associated with the target security protection strategy node information.

And a substep S1133, performing state machine code update event analysis on the protection strategy reinforcing element information according to the global state machine code and the target state machine code unit of the protection strategy reinforcing element information to obtain a state machine code update event analysis result corresponding to the protection strategy reinforcing element information.

In the substep S1134, if the analysis result of the state machine coding update event indicates that protection policy reinforcing element information meeting the preset update index exists in the target security protection policy node information, determining the selected security protection policy template as the target security protection policy template, and confirming a policy update process for instructing to update the payment protection policy of the target security protection policy node to the block link point terminal 200.

Illustratively, in one possible design example, the number of information units of the above protection policy enforcement element information is plural. For sub-step S1132, it can be realized by the following embodiments, which are described in detail as follows.

And a substep S11321, obtaining a target state machine encoding unit corresponding to the target security protection policy node information. The target state machine encoding unit includes: an encryption state machine code extraction network and a non-encryption state machine code extraction network.

And a substep S11322, extracting a state machine coding unit segment from each protection policy enhancing element information through the encryption state machine coding extraction network, and determining a first state machine code according to the extracted state machine coding unit segment of each protection policy enhancing element information.

And a substep S11323, extracting state machine coding update information from each protection policy enhancement element information through the non-encryption state machine coding extraction network, and determining a second state machine coding according to the extracted state machine coding update information of each protection policy enhancement element information.

And a substep S11324, performing state machine code splicing on the first state machine code of each protection strategy reinforcing element information and the second state machine code of the corresponding protection strategy reinforcing element information to obtain a global state machine code of each protection strategy reinforcing element information, and determining the global state machine code of each protection strategy reinforcing element information as the global state machine code of the protection strategy reinforcing element information associated with the target safety protection strategy node information.

It should be noted that the target state machine encoding unit may include: the code update identifies the network. The coding updating identification network is used for carrying out coding updating template tracking on the safety protection strategy node information to which the protection strategy reinforcing element information in the target safety protection strategy node information belongs.

On this basis, the substep S1133 can be implemented by the following embodiments, which are described in detail below.

And a substep S11331, inputting the global state machine code of the protection policy enforcement element information into the code update identification network in the target state machine coding unit, and determining, by the code update identification network, code update related information between the global state machine code of the protection policy enforcement element information and a plurality of sample state machine codes in the code update identification network. And the coding updating related information is used for representing the coding updating relation information of the global state machine coding of the protection strategy reinforcing element information and the coding updating relation information of each sample state machine coding corresponding to the same safety protection strategy node information.

The sub-step S11332, based on the coding update related information, obtains, from the multiple sample state machine codes, a sample state machine code having a maximum state code value with the global state machine code of the protection policy enforcement element information, and uses the sample state machine code having the maximum state code as the target sample state machine code.

And a substep S11333, taking the code distribution corresponding to the target sample state machine code as target security protection policy node information corresponding to the global state machine code of the protection policy enhancement element information, and determining a state machine code update event analysis result after performing code update template tracking on the protection policy enhancement element information in the target security protection policy node information based on the target security protection policy node information and the maximum state code associated with the target security protection policy node information.

Fig. 3 is a schematic functional block diagram of a payment transaction processing apparatus 300 for blockchain security protection according to an embodiment of the present disclosure, and in this embodiment, functional blocks of the payment transaction processing apparatus 300 for blockchain security protection may be divided according to a method embodiment executed by the digital financial platform 100, that is, the following functional blocks corresponding to the payment transaction processing apparatus 300 for blockchain security protection may be used to execute each method embodiment executed by the digital financial platform 100. The payment transaction processing apparatus 300 for blockchain security protection may include a sending module 310, an obtaining module 320, a configuring module 330, and an updating module 340, where functions of the functional modules of the payment transaction processing apparatus 300 for blockchain security protection are described in detail below.

The sending module 310 is configured to send security policy update information to the blockchain node terminal 200 corresponding to the payment service according to the target abnormal payment event of the payment service in the blockchain financial payment item. The sending module 310 may be configured to execute the step S110, and the detailed implementation of the sending module 310 may refer to the detailed description of the step S110.

An obtaining module 320, configured to obtain latest payment record information returned by the blockchain node terminal 200 for the security policy update information, and obtain a basic payment relationship topology model from the latest payment record information, where one topology member in the basic payment relationship topology model corresponds to one basic payment nominal identity, and an association log between topology members in the basic payment relationship topology model is used to represent a payment contact event between the basic payment nominal identities. The obtaining module 320 may be configured to perform the step S120, and the detailed implementation of the obtaining module 320 may refer to the detailed description of the step S120.

A configuration module 330, configured to configure a reference payment relationship topology model according to the payment transaction information of the newly added new payment nominal identity and the basic payment relationship topology model, where at least two topology members in the reference payment relationship topology model are respectively used to represent the new payment nominal identity and a plurality of basic payment nominal identities having a payment contact event with the new payment nominal identity, and a plurality of association logs between the topology members in the reference payment relationship topology model are respectively used to represent the payment contact event between the new payment nominal identity and the plurality of basic payment nominal identities. The configuration module 330 may be configured to perform the step S130, and the detailed implementation of the configuration module 330 may refer to the detailed description of the step S120.

And the updating module 340 is configured to determine payment protection policy reference information of the new payment nominal identity according to the reference payment relationship topological model, and perform payment protection policy updating on the newly added new payment nominal identity based on the payment protection policy reference information, where the payment protection policy reference information is used to indicate transaction characteristics of a payment protection policy of the new payment nominal identity and payment contact characteristics between the new payment nominal identity and multiple basic payment nominal identities. The updating module 340 may be configured to perform the step S140, and the detailed implementation of the updating module 340 may refer to the detailed description of the step S140.

It should be noted that the division of each module of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical business state object, or may be physically separated. And these modules may all be implemented in software invoked by a processing element. Or may be implemented entirely in hardware. And part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the sending module 310 may be a processing element separately set up, or may be implemented by being integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the processing element of the apparatus calls and executes the functions of the sending module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.

Fig. 4 shows a hardware structure diagram of the digital financial platform 100 for implementing the payment transaction processing method for blockchain security protection according to the embodiment of the present disclosure, and as shown in fig. 4, the digital financial platform 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.

In a specific implementation process, the plurality of processors 110 execute computer-executable instructions stored in the machine-readable storage medium 120 (for example, the sending module 310, the obtaining module 320, the configuring module 330, and the updating module 340 included in the payment transaction processing apparatus 300 for blockchain security protection shown in fig. 3), so that the processors 110 may execute the payment transaction processing method for blockchain security protection according to the above method embodiment, and the processors 110, the machine-readable storage medium 120, and the transceivers 140 are connected through the bus 130, and the processors 110 may be configured to control transceiving actions of the transceivers 140, so as to perform data transceiving with the aforementioned blockchain link point terminal 200.

For a specific implementation process of the processor 110, reference may be made to the above-mentioned embodiments of the method performed by the digital financial platform 100, which implement the similar principle and technical effect, and the detailed description of the embodiments is omitted here.

In the embodiment shown in fig. 4, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

The machine-readable storage medium 120 may comprise high-speed RAM memory, and may also include non-volatile storage NVM, such as multiple disk storage.

The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended ISA (EISA) bus, among others. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

In addition, an embodiment of the present application further provides a readable storage medium, where a computer executing instruction is stored in the readable storage medium, and when a processor executes the computer executing instruction, the payment service processing method for blockchain security protection as described above is implemented.

Finally, it should be understood that the examples in this specification are only intended to illustrate the principles of the examples in this specification. Other variations are also possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A payment transaction processing method for blockchain security protection is applied to a digital financial platform which is in communication connection with a plurality of blockchain node terminals, and the method comprises the following steps:

determining payment protection strategy reference information of the new payment nominal identity according to the reference payment relation topological model, and updating a payment protection strategy for the newly joined new payment nominal identity based on the payment protection strategy reference information, wherein the payment protection strategy reference information is used for representing transaction characteristics of a payment protection strategy of the new payment nominal identity and payment contact characteristics between the new payment nominal identity and the plurality of basic payment nominal identities;

the step of determining the payment protection policy reference information of the new payment nominal identity according to the reference payment relationship topology model includes:

2. The payment transaction processing method for blockchain security protection according to claim 1, wherein the step of configuring a reference payment relationship topology model according to the payment transaction information of the newly added new payment nominal identity and the basic payment relationship topology model includes:

3. The payment transaction processing method for blockchain security protection according to claim 2, wherein the target payment contact event is a near relation payment contact event and an interval near relation payment contact event;

4. The payment transaction processing method for blockchain security protection according to claim 2, wherein the step of configuring a reference payment relationship topology model according to the target payment contact event includes:

5. The payment transaction processing method for blockchain security as claimed in claim 2, wherein after the step of configuring a reference payment relationship topology model according to the target payment contact event, the method further comprises:

6. The payment transaction processing method for blockchain security protection according to claim 1, wherein the step of determining the payment protection policy reference information of the new payment nominal identity according to the payment contact characteristics of the payment relationship topology model and the transaction characteristics of the payment protection policy of the payment relationship topology model includes:

7. The payment transaction processing method for blockchain security protection according to any one of claims 1 to 6, wherein the step of sending security policy update information to the blockchain node terminal corresponding to the payment transaction according to the target abnormal payment event of the payment transaction in the blockchain financial payment item includes:

determining a first distribution abnormal payment event corresponding to each block chain financial payment service in a plurality of block chain financial payment services based on payment service data of the payment service sent by payment service processes in the plurality of block chain financial payment services through a plurality of abnormal payment event learning models, wherein one abnormal payment event learning model is used for determining a corresponding first distribution abnormal payment event based on the payment service data of the payment service in one block chain financial payment service, and the plurality of block chain financial payment services are obtained by classifying block chain financial payment items;

determining a target abnormal payment event of a payment service in the blockchain financial payment item based on a first distributed abnormal payment event corresponding to each blockchain financial payment service in the plurality of blockchain financial payment services;

sending safety protection strategy updating information to a block chain node terminal corresponding to the payment service according to a target abnormal payment event of the payment service in the block chain financial payment project;

the step of sending security protection policy update information to the block chain node terminal corresponding to the payment service according to the target abnormal payment event of the payment service in the block chain financial payment project includes:

acquiring target security protection strategy node information containing a selected security protection strategy template according to the target abnormal payment event, and performing protection strategy reinforcing element identification processing on the target security protection strategy node information to obtain protection strategy reinforcing element information corresponding to the target security protection strategy node information;

acquiring a target state machine coding unit corresponding to the target security protection strategy node information, extracting a first state machine code and a second state machine code from the protection strategy reinforcing element information through the target state machine coding unit, and splicing the first state machine code and the second state machine code to obtain a global state machine code of the protection strategy reinforcing element information associated with the target security protection strategy node information;

according to the global state machine code of the protection strategy strengthening element information and the target state machine coding unit, performing state machine code updating event analysis on the protection strategy strengthening element information to obtain a state machine code updating event analysis result corresponding to the protection strategy strengthening element information;

and if the state machine coding updating event analysis result represents that protection strategy reinforcing element information meeting a preset updating index exists in the target safety protection strategy node information, determining the selected safety protection strategy template as a target safety protection strategy template, and confirming a strategy updating process for indicating that the payment protection strategy of the target safety protection strategy node is updated to the block link point terminal.

8. The payment transaction processing method for blockchain security protection as claimed in claim 7, wherein the protection policy enforcement element information includes a plurality of information units; the step of obtaining a target state machine coding unit corresponding to the target security protection policy node information, extracting a first state machine code and a second state machine code from the protection policy enforcement element information through the target state machine coding unit, and splicing the first state machine code and the second state machine code to obtain a global state machine code of the protection policy enforcement element information associated with the target security protection policy node information includes:

acquiring a target state machine coding unit corresponding to the target security protection strategy node information; the target state machine encoding unit includes: an encryption state machine code extraction network and a non-encryption state machine code extraction network;

extracting a state machine coding unit section from each protection strategy reinforcing element information through the encryption state machine coding extraction network, and determining the first state machine coding according to the extracted state machine coding unit section of each protection strategy reinforcing element information;

extracting state machine code update information from each piece of protection strategy reinforcing element information through the non-encryption state machine code extraction network, and determining the second state machine code according to the extracted state machine code update information of each piece of protection strategy reinforcing element information;

performing state machine code splicing on a first state machine code of each protection strategy reinforcing element information and a second state machine code corresponding to the protection strategy reinforcing element information to obtain a global state machine code of each protection strategy reinforcing element information, and determining the global state machine code of each protection strategy reinforcing element information as the global state machine code of the protection strategy reinforcing element information associated with the target security protection strategy node information;

wherein the target state machine encoding unit includes: a code update recognition network; the coding updating identification network is used for carrying out coding updating template tracking on the security protection strategy node information to which the protection strategy reinforcing element information belongs in the target security protection strategy node information;

the analyzing the state machine code update event of the protection strategy reinforcing element information according to the global state machine code of the protection strategy reinforcing element information and the target state machine coding unit to obtain the state machine code update event analysis result corresponding to the protection strategy reinforcing element information comprises the following steps:

inputting the global state machine code of the protection strategy reinforcing element information into the code updating identification network in the target state machine coding unit, and determining code updating relevant information between the global state machine code of the protection strategy reinforcing element information and a plurality of sample state machine codes in the code updating identification network by the code updating identification network; the coding updating related information is used for representing coding updating relation information of the global state machine coding of the protection strategy reinforcing element information and coding updating relation information of each sample state machine coding corresponding to the same safety protection strategy node information;

based on the coding update related information, obtaining a sample state machine code with the maximum state code value with the global state machine code of the protection strategy enhancement element information from the plurality of sample state machine codes, and taking the sample state machine code with the maximum state code as a target sample state machine code;

and determining a state machine code updating event analysis result after code updating template tracking is carried out on the protection strategy strengthening element information in the target safety protection strategy node information based on the target safety protection strategy node information and the maximum state code associated with the target safety protection strategy node information.

9. A digital financial platform comprising a processor, a machine-readable storage medium, and a network interface, the machine-readable storage medium, the network interface, and the processor being connected by a bus system, the network interface being configured to communicatively connect to a plurality of block-chain node terminals, the machine-readable storage medium being configured to store a program, instructions, or code, and the processor being configured to execute the program, instructions, or code in the machine-readable storage medium to perform the method for processing payment transactions for block-chain security guards of any one of claims 1-8.