CN112884466A

CN112884466A - Block chain link point verification method applied to block chain payment and readable storage medium

Info

Publication number: CN112884466A
Application number: CN202110362128.2A
Authority: CN
Inventors: 周海婷
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-09-23
Filing date: 2020-09-23
Publication date: 2021-06-01
Also published as: CN112200549A; CN112200549B; CN112884467A

Abstract

The application provides a block link point verification method and a readable storage medium applied to block chain payment, which can acquire first payment business operation data of a payer block link node when detecting that the payer block link node initiates a digital financial payment request to a payee block link point, acquire second payment business operation data of the payer block link node when business interaction data is detected from a second payment business log of the payer block link node, acquire third payment business operation data from a third payment business log of the payee block link point when detecting that the operation behavior characteristics of the first payment business operation data and the second payment business operation data are consistent, and realize security verification of the payee block link node based on different payment business operation data. Therefore, the payment service processing efficiency of the payee block chain node can be ensured on the premise of ensuring the payment safety of the payee block chain node.

Description

Block chain link point verification method applied to block chain payment and readable storage medium

Technical Field

The present application relates to the field of block chain payment and digital financial services, and in particular, to a block chain link point verification method and a readable storage medium applied to block chain payment.

Background

With the development of science and technology, the application of blockchain payment is more and more mature, the combination of blockchain payment and payment can provide an efficient, safe and low-cost solution for digital finance and online finance, the interaction of payment services between merchants and users is greatly facilitated, and the current payment environment is effectively improved.

When the method is actually applied, the block chain payment has the advantages of quickness, no tampering and the like. However, as the intrusion behavior of the blockchain node is continuously upgraded, the security of the blockchain node in the payment transaction process is also concerned.

In order to further ensure the transaction security of the block chain nodes, the common security verification technology is implemented by performing payment verification with the block chain nodes, however, the technology requires frequent verification operations on the block chain nodes, which increases the complexity of the security verification and greatly affects the payment efficiency of the block chain nodes.

Disclosure of Invention

The present application provides a block chain link point verification method and a readable storage medium applied to block chain payment to solve the above technical problems in the prior art.

According to a first aspect of embodiments of the present application, there is provided a block chain link point verification method applied to a block chain payment, which is applied to a payment verification platform, the method including:

when detecting that a payer block chain node initiates a digital financial payment request to a payee block chain node, extracting a first payment service log of the payee block chain node before the current time period from a log extraction interface established with the payee block chain node in advance, and extracting first payment service operation data in the first payment service log;

if it is determined that the payee block link point passes the payee operation verification based on the first payment service operation data, when service interaction data with a payment service interaction identifier is detected from a second payment service log of the payer block link node, extracting second payment service operation data from a third payment service log of the payee block link node in the current time period, and detecting consistency of operation behavior characteristics of the first payment service operation data and the second payment service operation data;

when the operating behavior characteristics of the first payment service operating data and the second payment service operating data are detected to be consistent, periodically extracting third payment service operating data from a third payment service log of the payee block chain node;

and performing security verification on the payee block link point based on the first payment business operation data, the second payment business operation data and the third payment business operation data.

According to a second aspect of embodiments of the present application, there is provided a payment verification platform comprising:

the system comprises a first extraction module, a second extraction module and a third extraction module, wherein the first extraction module is used for extracting a first payment service log of a payee block chain node before the current time period from a log extraction interface which is pre-established with a payee block chain node when a digital financial payment request is detected to be initiated from the payer block chain node to the payee block chain node, and extracting first payment service operation data in the first payment service log;

a second extraction module, configured to, if it is determined that the payee block link point passes a payee operation verification based on the first payment service operation data, extract, from a third payment service log of the payee block link node in a current time period, second payment service operation data when service interaction data having a payment service interaction identifier is detected in a second payment service log of the payer block link node, and detect consistency of operation behavior characteristics of the first payment service operation data and the second payment service operation data;

a third extraction module, configured to periodically extract third payment service operation data from a third payment service log of the payee block chain node when it is detected that operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent;

a security verification module for performing security verification on the payee block link point based on the first payment service operation data, the second payment service operation data, and the third payment service operation data.

According to a third aspect of embodiments of the present application, there is provided a payment verification platform, comprising:

a processor, and

a memory and a network interface connected with the processor;

the network interface is connected with a nonvolatile memory in the payment verification platform;

the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of the first aspect.

According to a fourth aspect of the embodiments of the present application, a readable storage medium applied to a computer is provided, where a computer program is burned in the readable storage medium, and when the computer program runs in a memory of a payment verification platform, the method of the first aspect is implemented.

When the block chain link point verification method and the readable storage medium applied to the block chain payment in the embodiment of the application are applied, first payment business operation data of a payer block chain node can be acquired upon detecting that the payer block chain node initiates a digital financial payment request to a payee block chain node, acquiring second payment service operation data of the payer blockchain node when detecting that service interaction data of the payment service interaction identifier exists in a second payment service log of the payer blockchain node, and when the operation behavior characteristics of the first payment service operation data and the second payment service operation data are detected to be consistent, acquiring a third payment service log of the payee block chain node point to extract third payment service operation data, and then the security verification of the block chain node of the payee is realized based on the payment service operation data of different time periods.

Therefore, the payment service operation data of the payee block chain node in different payment service periods can be analyzed, so that the security verification of the payee block chain node is achieved, and the normal operation of the payee block chain node cannot be influenced by the acquisition of the payment service operation data, so that the payee block chain node is not required to participate in the security verification, and the payment service processing efficiency of the payee block chain node is ensured on the premise of ensuring the payment security of the payee block chain node.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic diagram of a block chain link point verification system applied to block chain payments, according to an exemplary embodiment of the present application.

Fig. 2 is a flow chart illustrating a block chain link point verification method applied to block chain payments according to an exemplary embodiment of the present application.

FIG. 3 is a block diagram of one embodiment of a payment verification platform shown in the present application in accordance with an exemplary embodiment.

FIG. 4 is a hardware block diagram of one embodiment of a payment verification platform according to one exemplary embodiment of the present application.

Detailed Description

The inventor finds that, through long-term research and analysis, common block chain verification technologies need to constantly perform payment verification with block chain nodes, for example, different payment verification operations are performed at different time intervals, so that the block chain nodes have to suspend the executing payment services to respond to the payment verification operations, and as the number of the payment verification operations increases, the block chain nodes sacrifice a lot of time to deal with the payment verification operations, which greatly affects the payment efficiency of the block chain nodes.

In order to solve the above technical problems, embodiments of the present invention provide a block link point verification method and a readable storage medium for block chain payment, which can analyze payment service operation data of block link points at different payment service time periods, so as to achieve security verification of the block link points.

To achieve the above object, the embodiment of the present invention first discloses a communication architecture diagram of a block link point verification system 100 applied to block chain payouts as shown in fig. 1, where the block link point verification system 100 may include a payoff verification platform 200, a payer block chain node 300, and a payee block link point 400. Wherein payor verification platform 200, payer block chain node 300, and payee block chain node 400 communicate with each other. Further, when the above block chain node verification system 100 is running, the payment verification platform 200 may perform the operations described in steps S21-S24 shown in fig. 2.

Step S21, when detecting that a payer block chain node initiates a digital financial payment request to a payee block chain node, extracting a first payment service log of the payee block chain node before the current time period from a log extraction interface pre-established with the payee block chain node, and extracting first payment service operation data in the first payment service log.

For example, the digital financial payment request may be a block chain payment request between a payer block link point and a payee block link point, such as a fund payment request, a fund transfer request, and the like, which is not limited herein.

For example, the current time period is the time period when the payer block chain node initiates a digital financial payment request to the payee block chain node.

For example, the log extraction interface is established by matching an interface protocol between the payment verification platform and the payee block link point.

For example, the first payment service log is used to record payment service operation data of the payee block chain node, where the payment service operation data includes device operation data and user behavior data.

Step S22, if it is determined that the payee block link point passes the payee operation verification based on the first payment service operation data, when the service interaction data having the payment service interaction identifier is detected in the second payment service log of the payer block link node, extracting the second payment service operation data from the third payment service log of the payee block link node in the current time period, and detecting consistency of the operation behavior characteristics of the first payment service operation data and the second payment service operation data.

For example, the service interaction identifier includes identifier information of the payee blockchain node and identifier information of the payer blockchain node.

For example, the service interaction data is used for representing the data of the user behavior interaction between the payee block chain node and the payer block chain node.

Step S23, when it is detected that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent, periodically extracting third payment service operation data from a third payment service log of the payee block chain node.

For example, the timing sequence of the third payment service operation data is behind the second payment service operation data, and the third payment service operation data may be payment service operation data generated when the payee block link point and other payer block link points perform payment service.

Step S24, performing security verification on the payee block link point based on the first payment service operation data, the second payment service operation data and the third payment service operation data.

It can be understood that, when the contents described in the above steps S21-S24 are applied, the first payment service operation data of the payer block chain node can be obtained when it is detected that the payer block chain node initiates a digital financial payment request to the payee block chain node, the second payment service operation data of the payer block chain node can be obtained when the service interaction data having the payment service interaction identifier is detected from the second payment service log of the payer block chain node, and the third payment service operation data can be extracted from the third payment service log of the payee block chain node when it is detected that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent, so as to implement security verification on the payee block chain node based on the payment service operation data in different time periods.

In specific implementation, the inventor finds that, in order to accurately and reliably perform security verification on payee block link points, analysis on an equipment level and a user level needs to be performed on different payment service operation data, so that splitting deployment of security risk crawlers is effectively detected. To achieve this, the security verification of the payee block link point based on the first payment service operation data, the second payment service operation data and the third payment service operation data, which is described in step S24, may exemplarily include the following steps: respectively determining operation data type lists corresponding to the first payment service operation data, the second payment service operation data and the third payment service operation data, performing crawler file detection on the first payment service operation data, the second payment service operation data and the third payment service operation data based on the operation data type lists corresponding to the first payment service operation data, the second payment service operation data and the third payment service operation data to obtain a detection result, and performing security verification on the payee block chain node based on the detection result. Therefore, the analysis of the equipment level and the user level can be carried out on different payment service operation data, so that the splitting deployment of the security risk crawler is effectively detected, and the security verification is accurately and reliably carried out on the payee block chain node.

Based on the above description of step S24, determining respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data, performing crawler file detection on the first payment service operation data, the second payment service operation data, and the third payment service operation data based on the respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data to obtain a detection result, and performing security verification on the payee block link point based on the detection result, which may specifically include the contents described in the following steps S241 to S245.

Step S241, determining a first list node association weight between a first operation data category list corresponding to the first payment service operation data and a second operation data category list corresponding to the second payment service operation data, and a second list node association weight between the second operation data category list corresponding to the second payment service operation data and a third operation data category list corresponding to the third payment service operation data; the operation data type list comprises association relation between equipment operation data and user behavior data, the equipment operation data is operation state data of the service equipment corresponding to the payer block link point, and the user behavior data is user portrait data when a user performs service operation on the payer block link point.

Step S242, for the first payment service operation data, performing operation data integration on the first payment service operation data according to the first list node association weight by using the first operation data category list as a reference list to obtain fourth payment service operation data; and for the second payment service operation data, performing operation data integration on the second payment service operation data by taking the second operation data category list as a reference list according to the second list node association weight to obtain fifth payment service operation data.

Step S243, respectively performing crawler file detection on the first payment service operation data and the second payment service operation data, the first payment service operation data and the fourth payment service operation data, the second payment service operation data and the third payment service operation data, and the second payment service operation data and the fifth payment service operation data, to obtain first crawler detection information, second crawler detection information, third crawler detection information, and fourth crawler detection information; and determining a first detection information distribution track between the first crawler detection information and the second crawler detection information and a second detection information distribution track between the third crawler detection information and the fourth crawler detection information.

Step S244, determining whether the first detection information distribution track and the second detection information distribution track are both matched with a preset information distribution track; if the first detection information distribution track and the second detection information distribution track are matched with a preset information distribution track, determining a verification dimension index for performing security verification on the payee block chain link point according to the first crawler detection information and the third crawler detection information, and performing operation data index extraction on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block chain link point to obtain an operation data index set of the payee block chain link node; if the first detection information distribution track and the second detection information distribution track are not matched with a preset information distribution track, respectively determining a first track offset coefficient and a second track offset coefficient of the first detection information distribution track and the second detection information distribution track and the preset information distribution track; comparing the magnitude of the first trajectory deviation coefficient and the magnitude of the second trajectory deviation coefficient; when the first track deviation coefficient is smaller than the second track deviation coefficient, determining a verification dimension index for performing security verification on the payee block link point according to the first crawler detection information and the second crawler detection information, and performing operation data index extraction on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block link point to obtain an operation data index set of the payee block link node; when the first track deviation coefficient is larger than the second track deviation coefficient, a verification dimension index for performing security verification on the payee block link point is determined according to the third crawler detection information and the fourth crawler detection information, and operation data index extraction is performed on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block link point to obtain an operation data index set of the payee block link node.

Step S245, performing security verification on the payee block link point based on the operation data index set of the payee block link node.

It can be understood that based on the content described in the above steps S241 to S245, the device level and the user level analysis can be performed on the operation data of different payment services based on the operation data index set, so as to effectively detect the splitting deployment of the security risk crawler, and further perform the security verification on the payee block link point accurately and reliably.

In practical applications, in order to perform real-time security verification on payee block link points and avoid hysteresis of security verification, in one possible embodiment, the security verification performed on the payee block link points based on the operation data index set of the payee block chain node described in step S245 may specifically include the contents described in steps S2451 to S2454 below.

Step S2451, analyzing the operation data index set in parallel to obtain a database access log corresponding to the operation data index set, wherein the database access log comprises operation statement information of database access operation; the operation statement information refers to an inquiry statement of the payee block link point access database.

Step S2452, determining a corresponding hot operation index according to the obtained database access log; and the hot operation index is a cooperative operation data index of each database access operation in the current time period.

Step S2453, determining a plurality of operation behavior tags of the database access operation based on the operation statement information; each operation behavior tag comprises a plurality of payment behavior tags; acquiring behavior feature detection data of each operation behavior tag, and sequencing the operation behavior tags according to the behavior feature detection data; determining a payment behavior risk degree corresponding to each payment behavior label in a plurality of sequenced operation behavior labels according to behavior feature detection data of the first operation behavior label; reading the payment behavior tags with the risk identifications in the current time period from the heat operation indexes according to the payment behavior risk degrees, and determining a payer information acquisition list corresponding to each payment behavior tag according to the payment behavior tags with the risk identifications in the current time period and a preset payment behavior detection thread, so as to generate a first security verification result; the preset payment behavior detection thread is used for detecting information retrieval records of each payment behavior tag in database access operation; carrying out verification weight marking on the first-time safety verification result, removing the first-time safety verification result subjected to the verification weight marking from the payment behavior detection thread, and loading the first-time safety verification result into a node verification file which accords with the operation statement information and is stored in a cache region of the payment verification platform; the authentication weight indicia includes weight additions and weight updates.

Step S2454, sequentially performing security verification result generation, verification weight marking and loading operation on other operation behavior tags in the sequenced operation behavior tags according to the generation, verification weight marking and loading modes of the first security verification result until security verification results corresponding to all operation behavior tags are obtained; and calculating the proportion that the security verification result in the node verification file is normal, judging that the link point of the payee block passes the security verification if the proportion reaches a set proportion, and judging that the link point of the payee block does not pass the security verification if the proportion does not reach the set proportion.

It can be understood that, by executing the contents described in the steps S2451 to S2454, the security verification can be performed on the payee block link point in real time, and hysteresis of the security verification is avoided, so that the security verification result can be determined according to the payment behavior detection thread in real time, and timeliness, reliability and accuracy of the security verification of the payee block link point are ensured.

On the basis of the above step S2454, if the payee block link point fails to pass the security verification, the method may further include the following steps S251 to S253.

Step S251, extracting service interaction record information from the payee block chain node, and determining first interaction track information and second interaction track information in a prestored communication information set of the payment verification platform according to the service interaction record information.

Step S252, after first interaction track information and second interaction track information are obtained, obtaining first interaction track tracing information of the first interaction track information and second interaction track tracing information of the second interaction track information, where the first interaction track information includes a first interaction node identifier, and the second interaction track information includes a second interaction node identifier.

Step S253, obtaining each tracing node in the first interaction trajectory tracing information and each tracing node in the second interaction trajectory tracing information to obtain a tracing node set; determining a node association weight between any two tracing nodes in the tracing node set to obtain an interactive object tracing list; adjusting the node association weight smaller than the set weight in the interactive object tracing list to be the set weight to obtain an interactive object calibration list; performing interactive object confirmation on the interactive object calibration list to obtain an object confirmation list, wherein the object confirmation list is used for indicating that the first interactive node identifier and the second interactive node identifier are the same interactive node identifier or different interactive node identifiers; when the object confirmation list represents that the first interactive node identifier and the second interactive node identifier are the same interactive node identifier, determining a first target block chain node from the object confirmation list and sending prompt information to the first target block chain link; when the object confirmation list represents that the first interactive node identifier and the second interactive node identifier are different interactive node identifiers, determining a second target block chain node from the object confirmation list and sending prompt information to the second target block chain link; and the prompt message is a payment risk prompt message.

It can be understood that through the contents described in the above steps S251 to S253, when the payee block link node fails to pass the security verification, the payment risk prompt information can be accurately sent to different target block chain nodes, so as to avoid that the different target block chain nodes are in the payment security risk, and further ensure the payment security of the different target block chain nodes.

In a specific implementation, in order to ensure the integrity of the extracted first payment service log and avoid partial loss of the service log, the extracting, by step S21, the first payment service log before the current time period of the payee block link node from the log extraction interface previously established with the payee block link node may specifically include the contents described in the following steps S2111 to S2113.

Step S2111, requesting the current authentication information of the payee block chain node through the log extraction interface, and extracting the current authentication random number in the current authentication information after obtaining the current authentication information.

Step S2112, judging whether the current authentication random number is consistent with a pre-stored random number.

Step S2113, when the current authentication random number is consistent with the pre-stored random number, generating a first service log extraction request based on the current authentication random number, sending the first service log extraction request to the payee block chain node through the log extraction interface, and acquiring a first payment service log returned by the payee block chain node based on a first check key carried by the first service log extraction request; when the current authentication random number is inconsistent with the pre-stored random number, generating a second service log extraction request based on a historical check key corresponding to the pre-stored random number and the current authentication random number, sending the second service log extraction request to the payee block chain node through the log extraction interface, and acquiring a first payment service log returned by the payee block chain node based on a second check key carried by the second service log extraction request; wherein the second verification key is obtained by the payment verification platform by updating the historical verification key.

In this way, based on the above steps S2111 to S2113, the integrity of the extracted first payment service log can be ensured, so as to avoid partial missing of the service log.

In one possible embodiment, in order to accurately extract the first payment service operation data, and avoid the first payment service operation data from carrying redundant data in the first payment service log, thereby reducing the data processing pressure of the payment verification platform, the extraction of the first payment service operation data in the first payment service log described in step S21 may be obtained, for example, through the contents described in step S2121-step S2123.

Step S2121, analyzing the text structure data corresponding to the first payment service log and each log event.

Step S2122, determining a service data label and a redundant data label corresponding to the first payment service log based on the text structure data, and determining a service data label or a redundant data label corresponding to each log event; determining event trigger coefficients between second log events under the redundant data labels and first log events under the service data labels according to the first log events under the service data labels and event identification information of the first log events; wherein the event trigger factor is used to characterize an event transfer rate between the first log event and the second log event.

Step S2123, based on the event trigger coefficient, migrating at least part of first log events under the service data label to the redundant data label, and deleting the log events under the redundant data label; and listing the first log events reserved under the service data label in a time sequence order to form a log event list, and determining the first payment service operation data according to event transmission data between every two first log events in the log event list.

It can be understood that, by applying the steps S2121 to S2123, the first log event under the service data label and the second log event under the redundant data label can be accurately screened, so as to accurately extract the first payment service operation data, avoid the redundant data in the first payment service log being carried in the first payment service operation data, and further reduce the data processing pressure of the payment verification platform.

In one specific embodiment, the determining that the payee block link point passes the verification of the payee operation based on the first payment service operation data in step S22 includes: and acquiring payment service process data in the first payment service operation data, extracting a node execution function corresponding to each payment process node from the payment service process data, determining whether each node execution function corresponds to at least one target function in a preset function library, and if so, determining that the payee block chain node passes through payee operation verification. Therefore, whether the link point of the payee block passes the verification of the cash collecting operation or not can be accurately and reliably judged from the node execution function level.

In an alternative embodiment, the step S22 of detecting the consistency of the operation behavior characteristics of the first payment service operation data and the second payment service operation data may specifically include the following steps S221 to S224.

Step S221, extracting a first operation behavior feature of the first payment service operation data and a second operation behavior feature of the second payment service operation data, and respectively determining a behavior recognition degree of each feature element in the first operation behavior feature and a behavior recognition degree of each feature element in the second operation behavior feature; the behavior recognition degrees of each feature element in the first operation behavior characteristics are different from each other, and the behavior recognition degrees of each feature element in the second operation behavior characteristics are different from each other.

Step S222, extracting behavior attribute information of a feature element corresponding to any one behavior recognition degree in the first operation behavior features, and determining the feature element with the maximum behavior recognition degree in the second operation behavior features as a target feature element.

Step S223, mapping the behavior attribute information to the target feature element based on the interval time information of the operation data stream between the first payment service operation data and the second payment service operation data, so as to obtain the mapping attribute information of the behavior attribute information in the target feature element.

Step S224, determining the attribute matching rate between the mapping attribute information and the behavior attribute information in a preset attribute information list, determining a feature matching path between the first operation behavior feature and the second operation behavior feature according to the attribute matching rate, matching the characteristic elements corresponding to the first operation behavior characteristic and the second operation behavior characteristic in sequence according to the sequence of the matching nodes in the characteristic matching path, and when the matching ratio of the characteristic elements corresponding to the first operation behavior characteristic and the second operation behavior characteristic reaches a preset ratio, detecting that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent, otherwise, detecting that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are inconsistent.

In this way, when the contents described in the above steps S221 to S224 are applied, the consistency of the operation behavior characteristics of the first payment service operation data and the second payment service operation data can be accurately and reliably detected.

In an alternative embodiment, the periodically extracting third payment transaction operation data from the third payment transaction log of the payee blockchain node as described in step S23 includes: and extracting the third payment service operation data from a third payment service log of the payee block chain node according to a set time interval, wherein the set time interval is determined according to the number of payer block chain node devices which have effective payment links with the payee block chain node.

In a specific embodiment, the step S22 of detecting the service interaction data with the payment service interaction identifier from the second payment service log of the payer block chain node specifically includes: and detecting a plurality of groups of service identifications of service data to be calibrated from a second payment service log of the payer block chain node, determining a service identification with an identification updating frequency in a set interval from the plurality of service identifications as a payment service interaction identification, and determining the service identification with the identification updating frequency in the set interval as the service interaction data.

Based on the same inventive concept, there is also provided a payment verification platform 200 as shown in fig. 3, including:

a first extraction module 210, configured to, when it is detected that a payer block chain node initiates a digital financial payment request to a payee block chain node, extract a first payment service log of the payee block chain node before a current time period from a log extraction interface pre-established with the payee block chain node, and extract first payment service operation data in the first payment service log;

a second extracting module 220, configured to, if it is determined that the payee block link point passes the payee operation verification based on the first payment service operation data, extract, from a third payment service log of the payee block link node in a current time period, second payment service operation data when service interaction data having a payment service interaction identifier is detected in a second payment service log of the payer block link node, and detect consistency of operation behavior characteristics of the first payment service operation data and the second payment service operation data;

a third extracting module 230, configured to periodically extract third payment service operation data from a third payment service log of the payee block chain node when it is detected that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent;

a security verification module 240, configured to perform security verification on the payee block link point based on the first payment service operation data, the second payment service operation data, and the third payment service operation data.

For a specific implementation of the functional module, please refer to the implementation of the method shown in fig. 2, which is not described herein again.

On the basis of the above, as shown in fig. 4, there is also provided a payment verification platform 200, including: a processor 251, and a memory 252 and a network interface 253 connected to the processor 251; the network interface 253 interfaces with the non-volatile memory 254 in the payment verification platform 200; the processor 251 retrieves a computer program from the non-volatile memory 254 via the network interface 253 and executes the computer program via the memory 252 to perform the above-described method.

Further, a readable storage medium applied to a computer is provided, and the readable storage medium is burned with a computer program, and the computer program realizes the above method when running in the memory 252 of the payment verification platform 200.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Based on the above, two realizable embodiments, embodiment a and embodiment B, are also provided, wherein the specific description about embodiment a and embodiment B is as follows.

First, embodiment A

A1. A block chain link point verification method applied to block chain payment is applied to a payment verification platform, and comprises the following steps:

when detecting that a payer block chain node initiates a digital financial payment request to a payee block chain node, extracting a first payment service log of the payee block chain node before the current time period from a log extraction interface established with the payee block chain node in advance, and extracting first payment service operation data in the first payment service log; the method for extracting the first payment service log of the payee block chain node before the current time period from the log extraction interface established with the payee block chain node in advance specifically includes: requesting current authentication information of the payee block chain node through the log extraction interface, and extracting a current authentication random number in the current authentication information after obtaining the current authentication information; judging whether the current authentication random number is consistent with a prestored random number or not; when the current authentication random number is consistent with the pre-stored random number, generating a first service log extraction request based on the current authentication random number, sending the first service log extraction request to the payee block chain node through the log extraction interface, and acquiring a first payment service log returned by the payee block chain node based on a first check key carried by the first service log extraction request; when the current authentication random number is inconsistent with the pre-stored random number, generating a second service log extraction request based on a historical check key corresponding to the pre-stored random number and the current authentication random number, sending the second service log extraction request to the payee block chain node through the log extraction interface, and acquiring a first payment service log returned by the payee block chain node based on a second check key carried by the second service log extraction request; wherein the second verification key is obtained by the payment verification platform by updating the historical verification key;

A2. According to the method of a1, periodically extracting third payment transaction operation data from a third payment transaction log of the payee blockchain node, comprising:

extracting the third payment service operation data from a third payment service log of the payee block chain node according to a set time interval; and the set time interval is determined according to the number of the payer block chain node devices with effective payment links with the payee block chain node.

A3. According to the method of a1, determining that the payee block link point passes a payee operation verification based on the first payment service operation data comprises:

acquiring payment service process data in the first payment service operation data;

extracting a node execution function corresponding to each payment process node from the payment service process data;

and determining whether each node execution function corresponds to at least one target function in a preset function library, and if so, determining that the payee block link point passes the payment collection operation verification.

A4. The method of any of a1-A3, the verifying security of the payee chunk node based on the first, second, and third payment business operation data, comprising:

respectively determining operation data type lists corresponding to the first payment service operation data, the second payment service operation data and the third payment service operation data, performing crawler file detection on the first payment service operation data, the second payment service operation data and the third payment service operation data based on the operation data type lists corresponding to the first payment service operation data, the second payment service operation data and the third payment service operation data to obtain a detection result, and performing security verification on the payee block chain node based on the detection result.

A5. According to the method of a4, determining respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data, performing crawler file detection on the first payment service operation data, the second payment service operation data, and the third payment service operation data based on the respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data to obtain a detection result, and performing security verification on the payee block link point based on the detection result, where the method includes:

determining a first list node association weight between a first operation data category list corresponding to the first payment service operation data and a second operation data category list corresponding to the second payment service operation data and a second list node association weight between a second operation data category list corresponding to the second payment service operation data and a third operation data category list corresponding to the third payment service operation data; the operation data type list comprises association relation between equipment operation data and user behavior data, wherein the equipment operation data is operation state data of service equipment corresponding to the payer block link point, and the user behavior data is user portrait data when a user performs service operation on the payer block link point;

for the first payment service operation data, performing operation data integration on the first payment service operation data by taking the first operation data category list as a reference list according to the first list node association weight to obtain fourth payment service operation data; for the second payment service operation data, performing operation data integration on the second payment service operation data by taking the second operation data category list as a reference list according to the second list node association weight to obtain fifth payment service operation data;

respectively performing crawler file detection on the first payment service operation data and the second payment service operation data, the first payment service operation data and the fourth payment service operation data, the second payment service operation data and the third payment service operation data, and the second payment service operation data and the fifth payment service operation data to obtain first crawler detection information, second crawler detection information, third crawler detection information and fourth crawler detection information; determining a first detection information distribution track between the first crawler detection information and the second crawler detection information and a second detection information distribution track between the third crawler detection information and the fourth crawler detection information;

judging whether the first detection information distribution track and the second detection information distribution track are both matched with a preset information distribution track; if the first detection information distribution track and the second detection information distribution track are matched with a preset information distribution track, determining a verification dimension index for performing security verification on the payee block chain link point according to the first crawler detection information and the third crawler detection information, and performing operation data index extraction on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block chain link point to obtain an operation data index set of the payee block chain link node; if the first detection information distribution track and the second detection information distribution track are not matched with a preset information distribution track, respectively determining a first track offset coefficient and a second track offset coefficient of the first detection information distribution track and the second detection information distribution track and the preset information distribution track; comparing the magnitude of the first trajectory deviation coefficient and the magnitude of the second trajectory deviation coefficient; when the first track deviation coefficient is smaller than the second track deviation coefficient, determining a verification dimension index for performing security verification on the payee block link point according to the first crawler detection information and the second crawler detection information, and performing operation data index extraction on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block link point to obtain an operation data index set of the payee block link node; when the first track deviation coefficient is larger than the second track deviation coefficient, determining a verification dimension index for performing security verification on the payee block link point according to the third crawler detection information and the fourth crawler detection information, and performing operation data index extraction on the first payment service operation data, the second payment service operation data and the third payment service operation data according to the verification dimension index corresponding to the payee block link point to obtain an operation data index set of the payee block link node;

and performing security verification on the payee block link point based on the operation data index set of the payee block link node.

A6. The method of a5, the verifying security of the payee block link point based on the set of operational data metrics for the payee block link node, comprising:

analyzing the operation data index set in parallel to obtain a database access log corresponding to the operation data index set, wherein the database access log comprises operation statement information of database access operation; the operation statement information refers to an inquiry statement of the payee block link point access database;

determining a corresponding hot degree operation index according to the obtained database access log; the hot operation index is a cooperative operation data index of each database access operation in the current time period;

determining a plurality of operation behavior tags of the database access operation based on the operation statement information; each operation behavior tag comprises a plurality of payment behavior tags; acquiring behavior feature detection data of each operation behavior tag, and sequencing the operation behavior tags according to the behavior feature detection data; determining a payment behavior risk degree corresponding to each payment behavior label in a plurality of sequenced operation behavior labels according to behavior feature detection data of the first operation behavior label; reading the payment behavior tags with the risk identifications in the current time period from the heat operation indexes according to the payment behavior risk degrees, and determining a payer information acquisition list corresponding to each payment behavior tag according to the payment behavior tags with the risk identifications in the current time period and a preset payment behavior detection thread, so as to generate a first security verification result; the preset payment behavior detection thread is used for detecting information retrieval records of each payment behavior tag in database access operation; carrying out verification weight marking on the first-time safety verification result, removing the first-time safety verification result subjected to the verification weight marking from the payment behavior detection thread, and loading the first-time safety verification result into a node verification file which accords with the operation statement information and is stored in a cache region of the payment verification platform; the verification weight mark comprises weight addition and weight update;

according to the mode of generating, verifying weight marking and loading the first-time security verification result, sequentially performing operations of generating, verifying weight marking and loading security verification results on other operation behavior labels in the sequenced operation behavior labels until security verification results corresponding to all operation behavior labels are obtained; and calculating the proportion that the security verification result in the node verification file is normal, judging that the link point of the payee block passes the security verification if the proportion reaches a set proportion, and judging that the link point of the payee block does not pass the security verification if the proportion does not reach the set proportion.

A7. The method of a6, determining that the payee block link point failed security verification if the ratio does not reach a set ratio, the method further comprising:

extracting service interaction record information from the payee block chain node, and determining first interaction track information and second interaction track information in a prestored communication information set of the payment verification platform according to the service interaction record information;

after first interaction track information and second interaction track information are obtained, first interaction track tracing information of the first interaction track information and second interaction track tracing information of the second interaction track information are obtained, wherein the first interaction track information comprises a first interaction node identifier, and the second interaction track information comprises a second interaction node identifier;

obtaining each tracing node in the first interaction track tracing information and each tracing node in the second interaction track tracing information to obtain a tracing node set; determining a node association weight between any two tracing nodes in the tracing node set to obtain an interactive object tracing list; adjusting the node association weight smaller than the set weight in the interactive object tracing list to be the set weight to obtain an interactive object calibration list; performing interactive object confirmation on the interactive object calibration list to obtain an object confirmation list, wherein the object confirmation list is used for indicating that the first interactive node identifier and the second interactive node identifier are the same interactive node identifier or different interactive node identifiers; when the object confirmation list represents that the first interactive node identifier and the second interactive node identifier are the same interactive node identifier, determining a first target block chain node from the object confirmation list and sending prompt information to the first target block chain link; when the object confirmation list represents that the first interactive node identifier and the second interactive node identifier are different interactive node identifiers, determining a second target block chain node from the object confirmation list and sending prompt information to the second target block chain link; and the prompt message is a payment risk prompt message.

A8. A payment verification platform comprising:

Second, embodiment B

B1. A block chain link point verification method applied to block chain payment is applied to a payment verification platform, and comprises the following steps:

when detecting that a payer block chain node initiates a digital financial payment request to a payee block chain node, extracting a first payment service log of the payee block chain node before the current time period from a log extraction interface established with the payee block chain node in advance, and extracting first payment service operation data in the first payment service log; wherein the current time period is the time period when the payer block chain node initiates a digital financial payment request to the payee block chain node; the first payment service log is used for recording payment service operation data of the payee block chain node, wherein the payment service operation data comprises equipment operation data and user behavior data;

B2. Periodically extracting third payment transaction operation data from a third payment transaction log of the payee blockchain node according to the method of B1, including:

B3. According to the method of B1, determining that the payee block link point passes a payee operation verification based on the first payment transaction data comprises:

B4. The method of any of B1-B3, the performing security verification of the payee chunk node based on the first, second, and third payment business operation data, comprising:

B5. According to the method of B4, determining respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data, performing a crawler file detection on the first payment service operation data, the second payment service operation data, and the third payment service operation data based on the respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data to obtain a detection result, and performing a security verification on the payee block link point based on the detection result, including:

B6. The method of B5, verifying security of the payee block link node based on a set of operational data metrics for the payee block link node, comprising:

B7. The method of B6, determining that the payee block link point failed security verification if the ratio does not reach a set ratio, the method further comprising:

B8. A payment verification platform comprising:

a processor, and

a memory and a network interface connected with the processor;

the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of the above B1-B7.

Claims

1. A block chain link point verification method applied to block chain payment is applied to a payment verification platform, and comprises the following steps:

if it is determined that the payee block link point passes the payee operation verification based on the first payment service operation data, when service interaction data with a payment service interaction identifier is detected from a second payment service log of the payer block link node, extracting second payment service operation data from a third payment service log of the payee block link node in the current time period, and detecting consistency of operation behavior characteristics of the first payment service operation data and the second payment service operation data; the detecting the consistency of the operation behavior characteristics of the first payment service operation data and the second payment service operation data specifically includes: extracting a first operation behavior feature of the first payment service operation data and a second operation behavior feature of the second payment service operation data, and respectively determining a behavior recognition degree of each feature element in the first operation behavior feature and a behavior recognition degree of each feature element in the second operation behavior feature; the behavior recognition degrees of each characteristic element in the first operation behavior characteristic are different from each other, and the behavior recognition degrees of each characteristic element in the second operation behavior characteristic are different from each other; extracting behavior attribute information of a feature element corresponding to any behavior recognition degree in the first operation behavior features, and determining the feature element with the maximum behavior recognition degree in the second operation behavior features as a target feature element; mapping the behavior attribute information to the target characteristic element based on interval time information of an operation data stream between the first payment service operation data and the second payment service operation data to obtain mapping attribute information of the behavior attribute information in the target characteristic element; determining an attribute matching rate between the mapping attribute information and the behavior attribute information in a preset attribute information list, determining a feature matching path between the first operation behavior feature and the second operation behavior feature according to the attribute matching rate, matching the characteristic elements corresponding to the first operation behavior characteristic and the second operation behavior characteristic in sequence according to the sequence of the matching nodes in the characteristic matching path, when the matching proportion of the first operation behavior characteristic and the characteristic element corresponding to the second operation behavior characteristic reaches a preset proportion, detecting that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are consistent, otherwise, detecting that the operation behavior characteristics of the first payment service operation data and the second payment service operation data are inconsistent;

2. The method of claim 1, wherein performing security verification for the payee block link point based on the first payment business operation data, the second payment business operation data, and the third payment business operation data comprises:

3. The method of claim 2, wherein determining respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data, performing crawler file detection on the first payment service operation data, the second payment service operation data, and the third payment service operation data based on the respective operation data category lists corresponding to the first payment service operation data, the second payment service operation data, and the third payment service operation data to obtain a detection result, and performing security verification on the payee block link point based on the detection result comprises:

4. The method of claim 3, wherein performing a security verification on the payee block link point based on the set of operational data metrics for the payee block link node comprises:

5. The method of claim 4, wherein the payee block link point is determined not to pass the security verification if the ratio does not reach a set ratio, the method further comprising:

6. The method of claim 1, wherein periodically extracting third payment transaction operation data from a third payment transaction log of the payee blockchain node comprises:

7. The method of claim 1, wherein determining that the payee block link point is verified by a collect operation based on the first payment transaction data comprises:

8. A readable storage medium applied to a computer, wherein the readable storage medium is burned with a computer program, and the computer program realizes the method of any one of the above claims 1-7 when the computer program runs in the memory of a payment verification platform.