CN116886450B - Multi-channel digital identity authentication method and system - Google Patents

Multi-channel digital identity authentication method and system Download PDF

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CN116886450B
CN116886450B CN202311150553.0A CN202311150553A CN116886450B CN 116886450 B CN116886450 B CN 116886450B CN 202311150553 A CN202311150553 A CN 202311150553A CN 116886450 B CN116886450 B CN 116886450B
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identity
authentication
session
session information
authenticated
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CN116886450A (en
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许海青
徐宝祥
王浈广
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Suzhou Yingtiandi Information Technology Co ltd
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Suzhou Yingtiandi Information Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0823—Network architectures or network communication protocols for network security for authentication of entities using certificates
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • H04L63/102—Entity profiles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/40—Network security protocols

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application provides a multi-channel digital avatar authentication method and a multi-channel digital avatar authentication system, which are used for acquiring session association parameter values among session information of identity accounts to be authenticated and session association knowledge points corresponding to the session information of the identity accounts to be authenticated by combining session node data to be authenticated and target identity authentication credential feature clusters of the session information of the identity accounts to be authenticated, which are determined by output description of each identity authentication schedule, and determining associated authentication identity account session information from the session information of the identity accounts to be authenticated by combining the acquired session association parameter values and the session association knowledge points of the session information of the identity accounts to be authenticated, and determining associated authentication identity account session information by combining the session association parameter values among the session information of the identity accounts to be authenticated and the session association knowledge points corresponding to the session information of the identity accounts to be authenticated, thereby being convenient for improving the authentication response efficiency of the session information of the identity accounts.

Description

Multi-channel digital identity authentication method and system
Technical Field
The application relates to the technical field of identity authentication, in particular to a multi-channel digital avatar authentication method and system.
Background
Along with the information promotion, each service platform is built with an application platform and a unified identity authentication system, and the systems built by other subsequent service platforms are registered in the unified application platform and the unified identity authentication system. At present, although the conventional multi-channel digital identity authentication method can realize a basic identity authentication function, the efficiency of authentication response of the identity account session information cannot be ensured at present, for example, the identity authentication scheduling is independently carried out on each identity account session information to be authenticated at present, and the associated authentication mining of each identity account session information to be authenticated is not carried out.
Disclosure of Invention
Accordingly, the present application is directed to a multi-channel digital avatar authentication method and system, which combines session association parameter values between the session information of each identity account to be authenticated and session association knowledge points corresponding to the session information of each identity account to be authenticated to determine the session information of the associated authentication identity account, thereby facilitating the improvement of the authentication response efficiency of the session information of the identity account.
In combination with the first aspect of the application, a multi-channel digital avatar authentication method is provided, and is applied to a multi-channel digital avatar authentication system, and the method comprises the following steps:
Performing authorization requirement network mining on basic session interaction data when at least two identity account session information to be authenticated in a multi-channel digital authentication queue are subjected to identity authentication scheduling, and obtaining an authorization requirement directed network, wherein the authorization requirement directed network comprises authorization requirement characteristics respectively corresponding to the at least two identity account session information to be authenticated;
performing identity authentication scheduling output on each obtained authorization demand characteristic, and obtaining session node data to be authenticated and identity authentication scheduling output description respectively related to each authorization demand characteristic;
combining the obtained data of each session node to be authenticated with each identity authentication scheduling output description to obtain a target identity authentication credential feature cluster of corresponding identity account session information to be authenticated;
combining the obtained target identity authentication credential feature clusters to obtain session association parameter values among the identity account session information to be authenticated and session association knowledge points corresponding to the identity account session information to be authenticated respectively;
and combining the obtained session association parameter values and the obtained session association knowledge points, and determining associated authentication identity account session information from the identity account session information to be authenticated, wherein the obtained associated authentication identity account session information is used for carrying out associated authentication of the identity account session information.
In some alternative embodiments, the identity authentication dispatch output description includes at least session authority access data and dispatch portrait data, and the obtaining, by combining the obtained session node data to be authenticated and the obtained identity authentication dispatch output description, a target identity authentication credential feature cluster of the corresponding session information of the identity account to be authenticated includes:
for each identity account conversation information to be authenticated in each identity account conversation information to be authenticated, acquiring identity authentication preference data of the identity account conversation information to be authenticated by combining conversation authorization characteristics and dispatching portrait data of the identity account conversation information to be authenticated;
acquiring authentication coding content of the identity account session information to be authenticated by combining identity authentication certificate data and the session authority access data, wherein the identity authentication certificate data is generated by performing certificate data calling by combining the session authority access data and the dispatching portrait data of the identity account session information to be authenticated;
combining a preset significance characteristic analysis strategy cluster, and combining the identity authentication certificate data and the session authority access data to obtain the significance characteristic of the identity account number session information to be authenticated;
And combining the identity authentication preference data, the authentication coding content and the significance characteristics to obtain a target identity authentication credential characteristic cluster of the identity account session information to be authenticated.
In some alternative embodiments, the obtaining the identity authentication preference data of the identity account session information to be authenticated by combining the session authorization feature and the dispatch portrait data of the identity account session information to be authenticated includes:
extracting identity account attributes, a platform function plate where the identity account session information is located, a session response flow where the identity account session information is located and an identity account authority level from session authorization features of the identity account session information to be authenticated;
extracting scheduling entity data from scheduling image data of the identity account session information to be authenticated, wherein the scheduling entity data is a scheduling entity with the past initiation times of the identity account session information to be authenticated being greater than the set times in a set scheduling interval;
and clustering more than one of the identity account attribute, the platform function block where the identity account session information is located, the session response flow where the identity account session information is located, the identity account authority level and the scheduling entity data to obtain the identity authentication preference data.
In some alternative embodiments, the obtaining the authentication code content of the identity account session information to be authenticated by combining the identity authentication certificate data and the session authority access data includes:
analyzing dynamic rate parameters of positive response, dynamic rate parameters of negative response, dynamic rate parameters of positive authority access and dynamic rate parameters of negative authority access of the identity account number to be authenticated in each channel digital authentication queue in the multi-channel digital authentication queue by combining the session authority access data;
analyzing the response resource quantity of the identity account session information request to be authenticated, the cost value of identity account authentication, the authentication password quantity required by identity authentication, the dynamic rate parameter of the identity account session information response and the flow quantity based on the identity account session information response in each channel digital authentication queue in the multi-channel digital authentication queue by combining the identity authentication certificate data;
and obtaining the content coded for authentication by at least one of the dynamic rate parameter of the positive response, the dynamic rate parameter of the negative response, the dynamic rate parameter of the positive authority access, the dynamic rate parameter of the negative authority access, the response resource quantity of the identity account session information request to be authenticated, the cost value of the identity account authentication, the authentication password quantity required by the identity authentication, the dynamic rate parameter of the identity account session information response and the flow quantity based on which the identity account session information response is responded.
In some alternative embodiments, the obtaining the salient feature of the session information of the identity account to be authenticated by combining the preset salient feature analysis policy cluster and the identity authentication certificate data and the session authority access data includes:
and analyzing the significance event corresponding to one significance feature analysis strategy in each channel digital authentication queue in the multi-channel digital authentication queue by combining the identity authentication certificate data or the session authority access data corresponding to the one significance feature analysis strategy in the significance feature analysis strategy cluster, and acquiring the significance feature of the identity account session information to be authenticated by combining the analysis result.
In some alternative embodiments, the obtaining, in combination with the obtained feature clusters of the target identity authentication credentials, session association parameter values between session information of the identity accounts to be authenticated includes:
combining each reference identity authentication credential feature contained in each target identity authentication credential feature cluster to obtain a plurality of authentication channel dimensions;
grouping the identity account session information to be authenticated based on the authentication channel dimensions, and combining grouping results to obtain the distinguishing authentication identity account session information different from grouping;
Combining the obtained grouping results, sequentially determining the characteristic weights of the obtained individual authentication identity account session information in the grouping results, and obtaining the characteristic weight clusters corresponding to the individual authentication identity account session information;
and combining the obtained characteristic weight clusters, sequentially determining session association parameter values of the session information of each different authentication identity account relative to the session information of the non-different authentication identity account in each clustering result, and obtaining the session association parameter values of the session information of each different authentication identity account relative to the session information of the non-different authentication identity account as the session association parameter values among the session information of each identity account to be authenticated.
In some alternative embodiments, the obtaining, by combining the obtained target identity authentication credential feature clusters, session association knowledge points corresponding to session information of each identity account to be authenticated, includes:
importing the target identity authentication credential feature clusters and the past identity authentication credential feature clusters of the identity account session information to be authenticated into a trained session association classification network;
Combining each past identity authentication credential feature cluster, and outputting session association classification information of each identity account session information to be authenticated by adopting the session association classification network;
and combining the output session association classification information and the real labeling session association classification information of the corresponding identity account session information to be authenticated to obtain the session association knowledge point of the corresponding identity account session information to be authenticated, wherein the real labeling session association classification information is determined by combining the reference identity authentication credential characteristics contained in the target identity authentication credential characteristic cluster corresponding to the corresponding identity account session information to be authenticated.
In some alternative embodiments, the determining, by combining the obtained session association parameter values and the obtained session association knowledge points, associated authentication identity account session information from the session information of each identity account to be authenticated includes any one of the following operations:
obtaining the session information of the identity account to be authenticated corresponding to the session association parameter value larger than the first threshold association score in the session association parameter values as associated authentication identity account session information, wherein the first threshold association score is determined by combining the session association parameter values;
Obtaining the identity account session information to be authenticated corresponding to the session association knowledge points with the score larger than a second threshold association score in the session association knowledge points as associated authentication identity account session information, wherein the second threshold association score is determined by combining the session association knowledge points;
and obtaining the identity account session information to be authenticated, which is the associated authentication identity account session information, in each session association knowledge point, wherein the session association parameter value is greater than the first threshold association score, and the session information to be authenticated is greater than the second threshold association score.
In combination with the second aspect of the present application, there is provided a multi-channel digital avatar authentication system comprising a processor and a readable storage medium storing a program which when executed by the processor implements the aforementioned multi-channel digital avatar authentication method.
In combination with the third aspect of the present application, there is provided a computer-readable storage medium having stored therein computer-executable instructions for implementing the aforementioned multi-channel digital avatar authentication method when it is monitored that the computer-executable instructions are executed.
In combination with any one of the aspects, in the application, basic session interaction data when at least two pieces of identity account session information to be authenticated in a multi-channel digital authentication queue are subjected to identity authentication scheduling is subjected to authorization requirement network mining, an authorization requirement directed network is obtained, the authorization requirement directed network contains authorization requirement characteristics generated when at least two pieces of identity account session information to be authenticated are respectively subjected to identity authentication scheduling, the associated identity account session information can be determined from the session information to be authenticated by analyzing the session node data to be authenticated and the identity authentication scheduling output description respectively related to each authorization requirement characteristic, and the target identity authentication credential characteristic clusters of the corresponding identity account session information to be authenticated are determined by combining each piece of the session node data to be authenticated and each identity authentication scheduling output description, so that session association parameter values between each piece of identity account session information to be authenticated and session association knowledge points respectively corresponding to each piece of the identity account session information to be authenticated are obtained, and the session association identity account session information to be authenticated are determined from each piece of the session information to be authenticated, thereby the session information to be authenticated is determined, and the session account response efficiency of the session account to be authenticated is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that other related drawings may be obtained by those skilled in the art without the inventive effort in combination with these drawings.
FIG. 1 is a schematic flow chart of a multi-channel digital avatar authentication method according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a component structure of a multi-channel digital avatar authentication system for implementing the multi-channel digital avatar authentication method according to an embodiment of the present application.
Description of the embodiments
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for the purpose of illustration and description only and are not intended to limit the scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented based on some embodiments of the application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Furthermore, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art under the direction of the present disclosure.
Fig. 1 shows a flow chart of a multi-channel digital avatar authentication method according to an embodiment of the present application, and it should be understood that, in other embodiments, the order of part of the steps in the multi-channel digital avatar authentication method according to the present embodiment may be interchanged in combination with actual needs, or part of the steps may be omitted or deleted. The detailed steps of the multi-channel digital avatar authentication method are described as follows.
Step101: and carrying out authorization requirement network mining on basic session interaction data when at least two identity account session information to be authenticated in the multi-channel digital authentication queue are subjected to identity authentication scheduling, so as to obtain an authorization requirement directed network, wherein the authorization requirement directed network comprises authorization requirement characteristics generated when the at least two identity account session information to be authenticated are respectively subjected to identity authentication scheduling.
Step102: and carrying out identity authentication dispatching output on the obtained authorization requirement characteristics, and obtaining session node data to be authenticated and identity authentication dispatching output description respectively related to the authorization requirement characteristics.
In some alternative embodiments, the authentication dispatch output description contains at least session rights access data and dispatch presentation data.
Step103: and combining the obtained data of each session node to be authenticated with each identity authentication scheduling output description to obtain a target identity authentication credential feature cluster of the corresponding identity account session information to be authenticated.
Step1031: and combining session authorization characteristics of the identity account session information to be authenticated and dispatching portrait data to obtain identity authentication preference data of the identity account session information to be authenticated.
In some alternative embodiments, the authentication preference data may reflect authentication preference of the identity account session information to be authenticated, for example, may at least include a plurality of feature data such as an identity account attribute, a platform function block where the identity account session information is located, a session response procedure where the identity account session information is located, an identity account authority level, and scheduling entity data. The scheduling entity data is a scheduling entity with the past initiation times of the identity account session information to be authenticated being larger than the set times in a set scheduling interval.
In some alternative embodiments, the identity account attribute, the platform function block where the identity account session information is located, the session response flow where the identity account session information is located, and the identity account authority level are extracted from the session authorization feature of the identity account session information to be authenticated, and the scheduling entity data is extracted from the scheduling image data of the identity account session information to be authenticated, so that one or more of the identity account attribute, the platform function block where the identity account session information is located, the session response flow where the identity account authority level where the identity account session information is located, and the scheduling entity data are extracted, and the identity authentication preference data which is the identity account session information to be authenticated is obtained.
Step1032: and combining the identity authentication certificate data and the session authority access data to obtain authentication coding content of the identity account session information to be authenticated, wherein the identity authentication certificate data is generated by performing certificate data calling by combining the session authority access data and the dispatching portrait data of the identity account session information to be authenticated.
In some alternative embodiments, the authentication code content at least includes feature vectors such as the number of response resources required to authenticate the identity account session information request, the cost value of identity account authentication, the number of authentication passwords required for identity authentication, the dynamic rate parameter of the identity account session information response, the number of processes based on which the identity account session information response is based, the dynamic rate parameter of the active response of the object, the dynamic rate parameter of the passive response, the dynamic rate parameter of the active authority access, and the dynamic rate parameter of the passive authority access.
In some alternative embodiments, when executing Step1032, in combination with the session authority access data, counting the number of response resources required to authenticate the identity account session information, the number of authentication passwords required to authenticate the identity account, the number of dynamic rate parameters required to authenticate the identity account session information, the number of processes based on which the identity account session information is responded, and counting at least one of the number of response resources required to authenticate the identity account session information, the number of authentication passwords required to authenticate the identity account, the number of processes based on which the identity account session information is responded, the number of dynamic rate parameters required to authenticate the identity account session information, the number of processes based on which the identity account session information is responded, the number of response resources required to authenticate the identity account session information, the number of processes based on which the identity account session information is responded.
Step1033: and combining a preset significance characteristic analysis strategy cluster, and combining identity authentication certificate data and session authority access data to obtain the significance characteristic of the identity account session information to be authenticated.
Taking a significance feature analysis strategy in a significance feature analysis strategy cluster as an example, when Step1033 is executed, counting significance events corresponding to a significance feature analysis strategy in each channel digital authentication queue in the multi-channel digital authentication queue by combining identity authentication certificate data or session authority access data corresponding to the significance feature analysis strategy, and acquiring the significance feature of the identity account session information to be authenticated by combining analysis results.
Step1034: and combining the identity authentication preference data, the authentication coding content and the significance characteristics to obtain the target identity authentication credential characteristic cluster of the identity account session information to be authenticated.
Therefore, the target identity authentication credential feature clusters corresponding to the identity account session information to be authenticated can be obtained, and each target identity authentication credential feature cluster contains features such as identity authentication preference data, authentication coding content, significance features and the like.
Step104: and combining the obtained target identity authentication credential feature clusters to obtain session association parameter values among the identity account session information to be authenticated and session association knowledge points corresponding to the identity account session information to be authenticated respectively.
When Step104 is executed, dividing the identity account session information to be authenticated by combining each reference identity authentication credential feature contained in the target identity authentication credential feature cluster corresponding to the identity account session information to be authenticated, thereby obtaining the different authentication identity account session information different from the clustering, and calculating the session association parameter value of the different authentication identity account session information.
Step104_11: and combining each reference identity authentication credential feature contained in each target identity authentication credential feature cluster to obtain a plurality of authentication channel dimensions.
Each target identity authentication credential feature cluster corresponding to the identity account session information to be authenticated contains identity authentication preference data, authentication coding content and significance features, so that the identity account session information to be authenticated is divided by combining the three authentication channel dimensions.
Step104_12: grouping the identity account session information to be authenticated according to the authentication channel dimensions, and combining the grouping result to obtain the distinguishing authentication identity account session information different from grouping.
Step104_13: and combining the obtained grouping results, sequentially determining the characteristic weights of the obtained individual authentication identity account session information in the grouping results, and obtaining the characteristic weight clusters corresponding to the individual authentication identity account session information.
Step104_14: and combining the obtained characteristic weight clusters, sequentially determining session association parameter values of each piece of different authentication identity account session information relative to the non-different authentication identity account session information in each clustering result, and obtaining the session association parameter values of each piece of different authentication identity account session information relative to the non-different authentication identity account session information as the session association parameter values among the identity account session information to be authenticated.
In some alternative embodiments, when Step104_14 is executed, for each feature weight cluster, weighting calculation is performed on each feature weight by combining a dimension influence factor corresponding to each authentication channel dimension, session association parameter values of corresponding authentication identity account session information relative to non-authentication identity account session information are obtained by combining the weighted feature weights, the session association parameter values are used as session association parameter values between corresponding authentication identity account session information and other authentication identity account session information, and whether the corresponding authentication identity account session information is actual association identity account session information is obtained by combining the session association parameter values of corresponding authentication identity account session information.
For example, taking the distinguishing authentication identity account session information as the feature weight cluster corresponding to the identity account session information to be authenticated 4 as an example, the calculation formula of the session association parameter value is as follows:
H4＝R1*H4_1+R2*H4_2+R3*H4_3
wherein, R1, R2, R3 are weights corresponding to the identity authentication preference data, the authentication coding content and the salient features respectively, h4_1 is a feature weight of the identity account session information 4 to be authenticated in a result after grouping in combination with the identity authentication preference data, h4_2 is a feature weight of the identity account session information 4 to be authenticated in a result after grouping in combination with the authentication coding content, h4_3 is a feature weight of the identity account session information 4 to be authenticated in a result after grouping in combination with the salient features, and H4 is a weighted session association parameter value.
When Step104 is executed, a trained session association classification network is combined, and session association knowledge points of the session information of each identity account to be authenticated in the time cycle dimension are obtained.
Step104_21: and importing each target identity authentication credential feature cluster and each past identity authentication credential feature cluster of the identity account session information to be authenticated into a trained session association classification network.
When Step 104-21 is executed, each target identity authentication credential feature cluster and each past identity authentication credential feature cluster of the identity account session information to be authenticated are imported into a feature encoder to encode each reference identity authentication credential feature.
Step104_22: and combining the characteristic clusters of all past identity authentication credentials, and outputting session association classification information of the session information of all identity accounts to be authenticated by adopting a session association classification network.
In some alternative embodiments, when Step104_22 is executed, a classifier is adopted to output session association classification information of session information of each identity account to be authenticated by combining the identity authentication preference data, authentication coding content and significance characteristics in each past identity authentication credential feature cluster.
The session association classification information may be represented by bits, where 1 represents session association classification information and 0 represents non-session association classification information.
For example, the identity account session information 4 to be authenticated is output as the session association classification information of "0" in combination with the past identity authentication credential feature cluster of the identity account session information 4 to be authenticated.
Step104_23: and combining the output session association classification information and the real labeling session association classification information of the corresponding identity account session information to be authenticated to obtain the session association knowledge point of the corresponding identity account session information to be authenticated, wherein the real labeling session association classification information is determined by combining the reference identity authentication credential characteristics contained in the target identity authentication credential characteristic cluster corresponding to the corresponding identity account session information to be authenticated.
When Step 104-23 is executed, the reference identity authentication credential features contained in the target identity authentication credential feature clusters corresponding to the identity account session information to be authenticated are combined to obtain the real labeling session association classification information of the corresponding identity account session information to be authenticated. And combining the output session association classification information and the real labeling session association classification information of the corresponding identity account session information to be authenticated to obtain the session association knowledge point of the corresponding identity account session information to be authenticated. The larger the session association knowledge point is, the greater the possibility of session information association of the identity account number to be authenticated is indicated.
For example, by combining the target identity authentication credential feature cluster of the identity account session information 4 to be authenticated, obtaining the true labeling session association classification information of the identity account session information 4 to be authenticated as "1", and obtaining the session association knowledge point of the identity account session information 4 to be authenticated as w4, where w4 is greater than a set value, then indicating that the identity account session information 4 to be authenticated is likely to be the associated authentication identity account session information.
Step105: and combining the obtained session association parameter values and the obtained session association knowledge points to determine the associated authentication identity account session information from the identity account session information to be authenticated.
In some alternative embodiments, the associated authentication identity account session information may be determined in combination with a threshold association score for each session association parameter value and a threshold association score for each session association knowledge point. The method specifically comprises the following steps:
a: and obtaining the session information of the identity account to be authenticated corresponding to the session association parameter value which is larger than the first threshold association score in each session association parameter value as the session information of the associated authentication identity account, wherein the first threshold association score is determined by combining each session association parameter value.
For example, if the first threshold association score of each session association parameter value is denoted as V1 and the session association parameter value Q6 of the identity account number session information 6 to be authenticated is greater than V1, it is determined that the identity account number session information 6 to be authenticated is associated authentication identity account number session information.
B: and obtaining the identity account session information to be authenticated corresponding to the session association knowledge points with the session association knowledge points larger than the second threshold association score in the session association knowledge points as associated authentication identity account session information, wherein the second threshold association score is determined by combining the session association knowledge points.
For example, if the first threshold association score of each session association knowledge point is recorded as V2, and the session association parameter value x60 of the identity account session information 60 to be authenticated is greater than V2, it is determined that the identity account session information 60 to be authenticated is associated authentication identity account session information.
C: and obtaining the identity account session information to be authenticated, which is greater than the first threshold association score in each session association parameter value and greater than the second threshold association score in each session association knowledge point, as the associated authentication identity account session information.
For example, if the session association parameter value Q4 of the identity account session information to be authenticated 4 is greater than V1 and the session association knowledge point x4 of the identity account session information to be authenticated 4 is greater than V2, determining that the identity account session information to be authenticated 4 is associated authentication identity account session information.
The obtained associated authentication identity account session information is used for carrying out associated authentication of the identity account session information, for example, each determined associated authentication identity account session information and other published identity account session information can be subjected to associated authentication.
Fig. 2 schematically illustrates a multi-channel digital avatar authentication system 100 that may be used to implement various embodiments described in the present application.
For one embodiment, FIG. 2 illustrates a multi-channel digital identity authentication system 100 having one or more processors 102, a control module (chipset) 104 coupled to at least one of the processor(s) 102, a memory 106 coupled to the control module 104, a non-volatile memory (NVM)/storage device 108 coupled to the control module 104, one or more input/output devices 110 coupled to the control module 104, and a network interface 112 coupled to the control module 104.
The processor 102 may include one or more single-core or multi-core processors, and the processor 102 may include any combination of general-purpose or special-purpose processors (e.g., graphics processors, application processors, baseband processors, etc.). In some embodiments, the multi-channel digital avatar authentication system 100 can act as a gateway or like server device as described in embodiments of the present application.
In some embodiments, the multi-channel digital avatar authentication system 100 may include one or more computer-readable media (e.g., memory 106 or NVM/storage 108) having instructions 114 and one or more processors 102 in combination with the one or more computer-readable media configured to execute the instructions 114 to implement the modules to perform the actions described in this disclosure.
For one embodiment, the control module 104 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 102 and/or any suitable device or component in communication with the control module 104.
The control module 104 may include a memory controller module to provide an interface to the memory 106. The memory controller modules may be hardware modules, software modules, and/or firmware modules.
Memory 106 may be used to load and store data and/or instructions 114 for, for example, multi-channel digital avatar authentication system 100. For one embodiment, memory 106 may comprise any suitable volatile memory, such as, for example, a suitable DRAM. In some embodiments, memory 106 may comprise double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).
For one embodiment, control module 104 may include one or more input/output controllers to provide interfaces to NVM/storage 108 and input/output device(s) 110.
For example, NVM/storage 108 may be used to store data and/or instructions 114. NVM/storage 108 may include any suitable nonvolatile memory (e.g., flash memory) and/or may include any suitable nonvolatile storage(s) (e.g., one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives).
NVM/storage 108 may include storage resources that are physically part of the device on which the multi-channel digital avatar authentication system 100 is installed, or which may be accessible by the device, but may not be necessary as part of the device. For example, NVM/storage 108 may be accessed via input/output device(s) 110 according to a network.
Input/output device(s) 110 may provide an interface for multi-channel digital avatar authentication system 100 to communicate with any other suitable device, input/output device 110 may include a communication component, pinyin component, sensor component, and the like. The network interface 112 may provide an interface for the multi-channel digital authentication system 100 to communicate in accordance with one or more networks, and the multi-channel digital authentication system 100 may communicate wirelessly with one or more components of a wireless network in accordance with any of one or more wireless network standards and/or protocols, such as accessing a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof.
For one embodiment, at least one of the processor(s) 102 may be packaged together with logic of one or more controllers (e.g., memory controller modules) of the control module 104. For one embodiment, at least one of the processor(s) 102 may be packaged together with logic of one or more controllers of the control module 104 to form a system in a package (SiD). For one embodiment, at least one of the processor(s) 102 may be integrated on the same mold as logic of one or more controllers of the control module 104. For one embodiment, at least one of the processor(s) 102 may be integrated on the same die with logic of one or more controllers of the control module 104 to form a system on chip (SoC).
In various embodiments, the multi-channel digital avatar authentication system 100 may be, but is not limited to being: a server, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), among other terminal devices. In various embodiments, the multi-channel digital avatar authentication system 100 may have more or fewer components and/or different architectures. For example, in some embodiments, the server includes one or more cameras, keyboards, liquid Crystal Display (LCD) screens (including touch screen displays), non-volatile memory ports, multiple antennas, graphics chips, application Specific Integrated Circuits (ASICs), and speakers.
The embodiment of the application provides electronic equipment, which comprises: one or more processors; and one or more machine readable media having instructions stored thereon, which when executed by the one or more processors, cause the electronic device to perform a data processing method as described in one or more of the present applications.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the principles and embodiments of the application may be implemented in conjunction with the detailed description of the application that follows, the examples being merely intended to facilitate an understanding of the method of the application and its core concepts; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (9)

1. A method for multi-channel digital avatar authentication, the method comprising:
performing authorization requirement network mining on basic session interaction data when at least two identity account session information to be authenticated in a multi-channel digital authentication queue are subjected to identity authentication scheduling, and obtaining an authorization requirement directed network, wherein the authorization requirement directed network comprises authorization requirement characteristics respectively corresponding to the at least two identity account session information to be authenticated;
performing identity authentication scheduling output on each obtained authorization demand characteristic, and obtaining session node data to be authenticated and identity authentication scheduling output description respectively related to each authorization demand characteristic;
combining the obtained data of each session node to be authenticated with each identity authentication scheduling output description to obtain a target identity authentication credential feature cluster of corresponding identity account session information to be authenticated;
combining the obtained target identity authentication credential feature clusters to obtain session association parameter values among the identity account session information to be authenticated and session association knowledge points corresponding to the identity account session information to be authenticated respectively;
combining the obtained session association parameter values and the obtained session association knowledge points, and determining associated authentication identity account session information from the identity account session information to be authenticated, wherein the associated authentication identity account session information is used for carrying out associated authentication of the identity account session information;
The identity authentication dispatch output description at least comprises session authority access data and dispatch portrait data, and the obtaining of the target identity authentication credential feature cluster of the corresponding identity account session information to be authenticated by combining the obtained session node data to be authenticated and the obtained identity authentication dispatch output description comprises the following steps:
for each identity account conversation information to be authenticated in each identity account conversation information to be authenticated, acquiring identity authentication preference data of the identity account conversation information to be authenticated by combining conversation authorization characteristics and dispatching portrait data of the identity account conversation information to be authenticated;
acquiring authentication coding content of the identity account session information to be authenticated by combining identity authentication certificate data and the session authority access data, wherein the identity authentication certificate data is generated by performing certificate data calling by combining the session authority access data and the dispatching portrait data of the identity account session information to be authenticated;
combining a preset significance characteristic analysis strategy cluster, and combining the identity authentication certificate data and the session authority access data to obtain the significance characteristic of the identity account number session information to be authenticated;
and combining the identity authentication preference data, the authentication coding content and the significance characteristics to obtain a target identity authentication credential characteristic cluster of the identity account session information to be authenticated.
2. The method for authenticating a multi-channel digital avatar according to claim 1, wherein the step of obtaining the identity authentication preference data of the identity account session information to be authenticated by combining the session authorization feature of the identity account session information to be authenticated with the dispatch portrait data comprises the steps of:
extracting identity account attributes, a platform function plate where the identity account session information is located, a session response flow where the identity account session information is located and an identity account authority level from session authorization features of the identity account session information to be authenticated;
extracting scheduling entity data from scheduling image data of the identity account session information to be authenticated, wherein the scheduling entity data is a scheduling entity with the past initiation times of the identity account session information to be authenticated being greater than the set times in a set scheduling interval;
and clustering more than one of the identity account attribute, the platform function block where the identity account session information is located, the session response flow where the identity account session information is located, the identity account authority level and the scheduling entity data to obtain the identity authentication preference data.
3. The method for authenticating a multi-channel digital avatar according to claim 1, wherein the step of obtaining authentication code content of the authentication-required identity account session information by combining the identity authentication certificate data and the session authority access data comprises the steps of:
analyzing dynamic rate parameters of positive response, dynamic rate parameters of negative response, dynamic rate parameters of positive authority access and dynamic rate parameters of negative authority access of the identity account number to be authenticated in each channel digital authentication queue in the multi-channel digital authentication queue by combining the session authority access data;
analyzing the response resource quantity of the identity account session information request to be authenticated, the cost value of identity account authentication, the authentication password quantity required by identity authentication, the dynamic rate parameter of the identity account session information response and the flow quantity based on the identity account session information response in each channel digital authentication queue in the multi-channel digital authentication queue by combining the identity authentication certificate data;
and obtaining the content coded for authentication by at least one of the dynamic rate parameter of the positive response, the dynamic rate parameter of the negative response, the dynamic rate parameter of the positive authority access, the dynamic rate parameter of the negative authority access, the response resource quantity of the identity account session information request to be authenticated, the cost value of the identity account authentication, the authentication password quantity required by the identity authentication, the dynamic rate parameter of the identity account session information response and the flow quantity based on which the identity account session information response is responded.
4. The method for authenticating a multi-channel digital avatar according to claim 1, wherein the obtaining the salient feature of the session information of the identity account to be authenticated by combining the preset salient feature analysis policy cluster and the identity authentication certificate data and the session authority access data comprises:
and analyzing the significance event corresponding to one significance feature analysis strategy in each channel digital authentication queue in the multi-channel digital authentication queue by combining the identity authentication certificate data or the session authority access data corresponding to the one significance feature analysis strategy in the significance feature analysis strategy cluster, and acquiring the significance feature of the identity account session information to be authenticated by combining the analysis result.
5. The method for multi-channel digital avatar authentication according to claim 1, wherein the obtaining, by combining the obtained target identity authentication credential feature clusters, session association parameter values between the session information of the identity account to be authenticated includes:
combining each reference identity authentication credential feature contained in each target identity authentication credential feature cluster to obtain a plurality of authentication channel dimensions;
Grouping the identity account session information to be authenticated based on the authentication channel dimensions, and combining grouping results to obtain the distinguishing authentication identity account session information different from grouping;
combining the obtained grouping results, sequentially determining the characteristic weights of the obtained individual authentication identity account session information in the grouping results, and obtaining the characteristic weight clusters corresponding to the individual authentication identity account session information;
and combining the obtained characteristic weight clusters, sequentially determining session association parameter values of the session information of each different authentication identity account relative to the session information of the non-different authentication identity account in each clustering result, and obtaining the session association parameter values of the session information of each different authentication identity account relative to the session information of the non-different authentication identity account as the session association parameter values among the session information of each identity account to be authenticated.
6. The method for authenticating a multi-channel digital avatar according to claim 1, wherein the obtaining, by combining the obtained target identity authentication credential feature clusters, session association knowledge points corresponding to session information of each identity account to be authenticated respectively includes:
Importing the target identity authentication credential feature clusters and the past identity authentication credential feature clusters of the identity account session information to be authenticated into a trained session association classification network;
combining each past identity authentication credential feature cluster, and outputting session association classification information of each identity account session information to be authenticated by adopting the session association classification network;
and combining the output session association classification information and the real labeling session association classification information of the corresponding identity account session information to be authenticated to obtain the session association knowledge point of the corresponding identity account session information to be authenticated, wherein the real labeling session association classification information is determined by combining the reference identity authentication credential characteristics contained in the target identity authentication credential characteristic cluster corresponding to the corresponding identity account session information to be authenticated.
7. The method for authenticating a multi-channel digital avatar according to any one of claims 1 to 6, wherein determining associated authentication identity account session information from the individual authentication identity account session information by combining the obtained individual session association parameter values and individual session association knowledge points includes any one of:
Obtaining the session information of the identity account to be authenticated corresponding to the session association parameter value larger than the first threshold association score in the session association parameter values as associated authentication identity account session information, wherein the first threshold association score is determined by combining the session association parameter values;
obtaining the identity account session information to be authenticated corresponding to the session association knowledge points with the score larger than a second threshold association score in the session association knowledge points as associated authentication identity account session information, wherein the second threshold association score is determined by combining the session association knowledge points;
and obtaining the identity account session information to be authenticated, which is the associated authentication identity account session information, in each session association knowledge point, wherein the session association parameter value is greater than the first threshold association score, and the session information to be authenticated is greater than the second threshold association score.
8. A multi-channel digital avatar authentication system comprising a processor and a readable storage medium storing a program which when executed by the processor implements the multi-channel digital avatar authentication method of any one of claims 1-7.
9. A readable storage medium, characterized in that the readable storage medium stores a program which, when executed by a processor, implements the multi-channel digital avatar authentication method of any one of the preceding claims 1-7.
CN202311150553.0A 2023-09-07 2023-09-07 Multi-channel digital identity authentication method and system Active CN116886450B (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110874464A (en) * 2018-09-03 2020-03-10 巍乾全球技术有限责任公司 Method and equipment for managing user identity authentication data
CN112417416A (en) * 2020-11-19 2021-02-26 深圳市德普光业科技有限公司 Authentication interaction method, system and storage medium of service system
CN114422260A (en) * 2022-02-10 2022-04-29 苏州浪潮智能科技有限公司 Cross-platform joint identity authentication method, system, storage medium and equipment
CN115604340A (en) * 2022-10-13 2023-01-13 中国电信股份有限公司（Cn） Session control method and device, electronic equipment and storage medium

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11722481B2 (en) * 2019-10-31 2023-08-08 Citrix Systems, Inc. Multiple identity provider authentication system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110874464A (en) * 2018-09-03 2020-03-10 巍乾全球技术有限责任公司 Method and equipment for managing user identity authentication data
CN112417416A (en) * 2020-11-19 2021-02-26 深圳市德普光业科技有限公司 Authentication interaction method, system and storage medium of service system
CN114422260A (en) * 2022-02-10 2022-04-29 苏州浪潮智能科技有限公司 Cross-platform joint identity authentication method, system, storage medium and equipment
CN115604340A (en) * 2022-10-13 2023-01-13 中国电信股份有限公司（Cn） Session control method and device, electronic equipment and storage medium

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