CN117114629B - Intelligent management system and implementation method for bank website business library - Google Patents
Intelligent management system and implementation method for bank website business library Download PDFInfo
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Abstract
The invention discloses an intelligent management system and an implementation method of a banking outlet business library, which belong to the technical field of banking outlet business libraries and comprise the following steps: the system comprises an information input module, an information acquisition module, a data processing module, a verification analysis module and an intelligent management module. The intelligent management system and the implementation method for the bank node business library solve the problem that the intelligent management effect of the bank node business library is poor because the bank node business library cannot be effectively monitored and managed when the conventional bank node business library is used.
Description
Technical Field
The invention relates to the technical field of banking website business libraries, in particular to an intelligent management system and an implementation method of the banking website business library.
Background
The business library refers to a cash library which is arranged at a basic level department of each professional bank and commercial bank which performs business to the outside for handling daily cash receipt and payment, and the cash library stores daily turnover money which is a part of currency in circulation. The bank business library is limited to the line, place and place of business, and the limit of stock is defined, cash is handed out and received to the business library, and the bank business library is processed according to the defined procedures and procedures.
The Chinese patent with publication number CN215932722U discloses a banking outlet intelligent service library, which comprises a service library body for storing cash, an intelligent cash box for moving the cash is arranged in the service library body, and a cash deposit and withdrawal device for carrying out deposit and withdrawal operation on the cash in the intelligent cash box; the cash depositing and withdrawing equipment and the business library are moved through the intelligent cash box, the intelligent cash box only adopts the empty box detection sensor and the unpacking detection sensor to realize accurate monitoring of the cash in the intelligent cash box, the intelligent cash box is simple and accurate, deviation in the cash moving process is avoided, meanwhile, the intelligent cash box is kept in a connection state with the business library, real-time monitoring of the cash in the intelligent cash box is realized, and the safety and the high efficiency of the cash transferring process are ensured; however, the above patent has the following drawbacks in practical use:
When the existing bank website service library is used, the bank website service library cannot be effectively monitored and managed, so that the intelligent management effect of the bank website service library is poor.
Disclosure of Invention
The invention aims to provide an intelligent management system and an implementation method for a bank website service library, so that the bank website service library can be effectively monitored and managed when in use, the intelligent management effect of the bank website service library can be improved, and the problems in the background art are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the intelligent management system for the bank website business library comprises:
the information input module is used for inputting the administrator information of the bank website business library, wherein the administrator information comprises an administrator name, an administrator gender, an administrator contact way, an administrator authentication account number and a password;
the information acquisition module is used for acquiring user identity information of a bank website service library to be accessed in real time, wherein the user identity information comprises user image information, user fingerprint information and user password information;
the data processing module is used for comprehensively processing the user identity information acquired in real time, acquiring the user identity information of the bank website service library to be accessed, searching, grouping and extracting the characteristics of the user identity information, and determining the user characteristic information of the bank website service library to be accessed;
The verification analysis module is used for carrying out verification analysis on the user characteristic information of the bank website service library to be accessed, obtaining the user characteristic information of the bank website service library to be accessed, carrying out verification analysis on the user characteristic information based on the recorded manager information, and determining a user verification analysis result of the bank website service library to be accessed;
the intelligent management module is used for intelligently managing the bank website service library, acquiring a user verification analysis result of the bank website service library to be accessed, performing deep mining on the user verification analysis result based on a data mining technology, determining an intelligent management method of the bank website service library, and performing intelligent management on the bank website service library based on the intelligent management method of the bank website service library.
Preferably, the information input module includes:
the information registration unit is used for registering the information of the manager, the manager registers the information of the manager according to the registration window provided by the information registration unit, the name, the sex, the contact way and the authentication account number of the manager are input, and the registration result of the information of the manager is determined;
and the information storage unit is used for storing the manager information, and after the manager information is registered, the intelligent management system of the banking website business library generates corresponding manager information and stores the manager information in the information storage unit.
Preferably, the information acquisition module includes:
the image acquisition unit is used for acquiring the image information of the user in real time, and is arranged on the bank website business library, and the image acquisition unit is used for acquiring the image information of the user to be accessed to the bank website business library in real time after the user enters the bank website business library area;
the fingerprint acquisition unit is used for acquiring user fingerprint information in real time, and is arranged on the bank website business library, and the user fingerprint information of the bank website business library to be accessed is acquired in real time through the fingerprint acquisition unit after the user enters the bank website business library area;
the password acquisition unit is used for acquiring user password information in real time, is arranged on the bank website business library, and acquires the user password information of the bank website business library to be accessed in real time through the password acquisition unit after a user enters the bank website business library area;
and determining the user identity information of the bank website service library to be accessed based on the user image information, the user fingerprint information and the user password information of the bank website service library to be accessed obtained in real time.
Preferably, the image acquisition unit includes:
the first image information acquisition module is used for acquiring first image information of a banking website service library which is successfully accessed by a user at the current time in real time;
The second image information acquisition module is used for taking the image information acquired when the user successfully accesses the bank website service library last time as second image information;
the first similarity value acquisition module is used for comparing the similarity between the first image information and the second image information to obtain a first similarity value;
the second similarity value acquisition module is used for comparing the similarity between the first image information and the corresponding user image information when the banking website service library is initially recorded to obtain a second similarity value;
the third similarity value acquisition module is used for comparing the similarity between the second image information and the corresponding user image information when the banking website service library is initially recorded to obtain a third similarity value;
the first comparison module is configured to set an image similarity comparison threshold of the user for the next pre-access to the bank website service library by using the first similarity value, the second similarity value and the third similarity value, where the image similarity comparison threshold is obtained by the following formula:
wherein S is y1 Representing an image similarity comparison threshold, wherein the upper and lower limit values of the image similarity comparison threshold are 0.93-0.97; s is S 01 、S 02 And S is 03 Respectively representing a first similarity value, a second similarity value and a third similarity value; s is S 0 Representing a preset reference image similarity threshold value, wherein the value range is 0.94-0.96;
the image verification determining module is used for collecting image information of the user to be compared with corresponding image information of the user when the user accesses the bank website service library in advance next time, obtaining a similarity value, comparing the similarity value with the image similarity comparison threshold value, and recognizing that the image verification fails when the similarity value is lower than the image similarity comparison threshold value.
Preferably, the fingerprint acquisition unit includes:
the first fingerprint information acquisition module is used for acquiring first fingerprint information of a banking website service library which is successfully accessed by a user at the current time in real time;
the second fingerprint information acquisition module is used for taking the fingerprint information acquired when the user successfully accesses the bank website service library last time as second fingerprint information;
the first fingerprint similarity value acquisition module is used for comparing the similarity of the first fingerprint information and the second fingerprint information to obtain a first fingerprint similarity value;
The second fingerprint similarity value acquisition module is used for comparing the similarity between the first fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a second fingerprint similarity value;
the third fingerprint similarity value acquisition module is used for comparing the similarity between the second fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a third fingerprint similarity value;
the fingerprint similarity comparison factor acquisition module is used for setting the fingerprint similarity comparison factor of the bank website business library which is accessed by the user next time by utilizing the first fingerprint similarity value, the second fingerprint similarity value and the third fingerprint similarity value; the fingerprint similarity comparison factor is obtained through the following formula:
wherein S is e Representing a fingerprint similarity comparison factor; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96; e represents a constant;
and the fingerprint verification module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and performing fingerprint verification when the user accesses the bank website service library next time by utilizing the fingerprint similarity comparison threshold value.
Preferably, the fingerprint verification module includes:
the threshold value acquisition module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and the fingerprint similarity comparison threshold value is acquired by the following formula:
wherein S is y1 The fingerprint similarity comparison threshold is represented, and the upper and lower limit values of the fingerprint similarity comparison threshold are 0.92-0.98; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96;
the fingerprint comparison module is used for collecting fingerprint information of the user and comparing the fingerprint image information corresponding to the initial record of the banking website service library when the user accesses the banking website service library for the next time, and obtaining a fingerprint similarity value;
and the fingerprint verification and identification module is used for comparing the fingerprint similarity value with the fingerprint similarity comparison threshold value, and identifying that the fingerprint verification fails when the fingerprint similarity value is lower than the fingerprint image similarity comparison threshold value.
Preferably, the data processing module includes:
The data retrieval unit is used for retrieving the user identity information acquired in real time;
acquiring user identity information acquired in real time, searching the user identity information one by one based on a sequential searching method, filtering out user identity information which is useless for intelligent management of a banking outlet business library, and determining user identity information which is useful for intelligent management of the banking outlet business library;
a data grouping unit for grouping the retrieved user identity information;
acquiring user identity information useful for intelligent management of a banking website service library, grouping the user identity information based on a mutual exclusion principle, and determining user identity data groups, wherein different user identity data are stored in each group;
the feature extraction unit is used for extracting features of the grouped user identity data sets;
and acquiring user identity data of each group, and carrying out feature extraction on the user identity data to determine user feature information of the bank website service library to be accessed.
Preferably, the verification analysis module includes:
the index calling unit is used for indexing and calling the administrator information;
acquiring user characteristic information of a bank website service library to be accessed, searching out manager information matched with the user characteristic information based on the user characteristic information, and calling out the indexed manager information;
The verification analysis unit is used for carrying out verification analysis on the user characteristic information;
and acquiring user characteristic information of the bank website service library to be accessed and manager information of index retrieval, and performing verification analysis on the user characteristic information based on the manager information of index retrieval to determine a user verification analysis result of the bank website service library to be accessed.
Preferably, the intelligent management module includes:
the management formulating unit is used for formulating an intelligent management method of the banking website business library;
acquiring a user verification analysis result of a bank website service library to be accessed, and performing deep mining on the user verification analysis result based on a data mining technology to determine an intelligent management method of the bank website service library;
the management execution unit is used for intelligently managing the bank website service library;
the intelligent management method of the bank website service library is obtained, and intelligent management is carried out on the bank website service library based on the intelligent management method of the bank website service library.
According to another aspect of the present invention, there is provided a method for implementing intelligent management of a bank outlet service library, based on the implementation of the intelligent management system of a bank outlet service library, including the following steps:
s1: the method comprises the steps of inputting manager information of a bank website service library through an information input module, collecting user identity information of the bank website service library to be accessed in real time through an information collection module, comprehensively processing the user identity information collected in real time through a data processing module, and determining user characteristic information of the bank website service library to be accessed;
S2: performing verification analysis on the user characteristic information of the bank website service library to be accessed through a verification analysis module, and performing verification analysis on the user characteristic information based on the recorded manager information to determine a user verification analysis result of the bank website service library to be accessed;
s3: the intelligent management module is used for carrying out intelligent management on the bank website service library, the data mining technology is used for carrying out deep mining on the user verification analysis result, the intelligent management method of the bank website service library is determined, and the intelligent management method of the bank website service library is used for carrying out intelligent management on the bank website service library.
Preferably, in the step S2, the verification analysis module performs verification analysis on the user feature information of the bank website service library to be accessed, and the following operations are performed:
acquiring user characteristic information of a bank website service library to be accessed;
based on the user characteristic information, retrieving the administrator information matched with the user characteristic information, and calling out the indexed administrator information;
acquiring user characteristic information of a bank website service library to be accessed and manager information of index retrieval, and performing verification analysis on the user characteristic information based on the manager information of the index retrieval;
Aiming at the situation that the user characteristic information is matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication is successful, and the user can access the bank website service library;
aiming at the situation that the user characteristic information is not matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication fails, and the user cannot access the bank website service library;
acquiring a user verification analysis result of a bank node service library to be accessed, performing deep mining on the user verification analysis result based on a data mining technology, determining an intelligent management method of the bank node service library, and performing intelligent management on the bank node service library based on the intelligent management method of the bank node service library;
aiming at the condition that the user authentication is successful and the user can access the bank website service library, the bank website service library is opened, and the user enters the bank website service library;
aiming at the situation that the user authentication fails and the user cannot access the bank website service library, the bank website service library immediately alarms, the remote dialogue drives away the user, and remote early warning information is sent to the manager and the bank website.
Compared with the prior art, the invention has the beneficial effects that:
The intelligent management system and the implementation method of the bank node business library are used for inputting the administrator information of the bank node business library, collecting the user identity information of the bank node business library to be accessed in real time, comprehensively processing the user identity information, determining the user characteristic information of the bank node business library to be accessed, carrying out verification analysis on the user characteristic information based on the input administrator information, determining the user verification analysis result of the bank node business library to be accessed, carrying out deep mining on the user verification analysis result based on a data mining technology, determining the intelligent management method of the bank node business library, and carrying out intelligent management on the bank node business library based on the intelligent management method of the bank node business library, so that the bank node business library can be effectively monitored and managed when being used, and the intelligent management effect of the bank node business library can be improved.
Drawings
FIG. 1 is a block diagram of a banking institute intelligent management system of the present invention;
FIG. 2 is a flow chart of the intelligent management method of the banking outlet business library of the invention;
FIG. 3 is an algorithm flow chart of the intelligent management method of the banking outlet business library.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that the intelligent management effect of the banking outlet business library is poor due to the fact that the conventional banking outlet business library cannot be effectively monitored and managed when the banking outlet business library is used, referring to fig. 1-3, the following technical scheme is provided in the embodiment:
the intelligent management system for the bank website business library comprises an information input module, an information acquisition module, a data processing module, a verification analysis module and an intelligent management module;
the information input module is used for inputting the administrator information of the bank website service library, the information acquisition module is used for acquiring the user identity information of the bank website service library to be accessed in real time, the data processing module is used for comprehensively processing the user identity information acquired in real time to determine the user characteristic information of the bank website service library to be accessed, the verification analysis module is used for verifying and analyzing the user characteristic information of the bank website service library to be accessed, the verification analysis result of the user is determined based on the input administrator information, the intelligent management module is used for intelligently managing the bank website service library, the deep mining is performed on the user verification analysis result based on the data mining technology, the intelligent management method of the bank website service library is determined, and the intelligent management method of the bank website service library is used for intelligently managing the bank website service library based on the intelligent management method of the bank website service library, so that the bank website service library can be effectively monitored and managed when in use, and the intelligent management effect of the bank website service library can be improved.
The information input module can input the manager information of the bank website business library;
the information input module comprises an information registration unit and an information storage unit;
the information registration unit is used for registering the manager information;
the manager registers manager information according to the registration window provided by the information registration unit, and inputs the name, sex, contact way, authentication account and password of the manager to determine the registration result of the manager information;
the information storage unit is used for storing the administrator information;
after the manager information is registered, the intelligent management system of the bank website service library generates corresponding manager information, and the manager information is stored in the information storage unit.
The user identity information of the bank website service library to be accessed can be verified through the recorded administrator information, and only if the user identity information is successfully verified, the user can access the bank website service library.
The information acquisition module can acquire user identity information of a bank website service library to be accessed in real time;
the information acquisition module comprises an image acquisition unit, a fingerprint acquisition unit and a password acquisition unit;
The image acquisition unit is used for acquiring image information of a user in real time;
specifically, the image acquisition unit is arranged on the bank website business library, and after a user enters the bank website business library area, the image acquisition unit acquires the user image information of the bank website business library to be accessed in real time;
the fingerprint acquisition unit is used for acquiring fingerprint information of a user in real time;
specifically, the fingerprint acquisition unit is arranged on the bank website business library, and after a user enters the bank website business library area, the fingerprint acquisition unit acquires the user fingerprint information of the bank website business library to be accessed in real time;
the password acquisition unit is used for acquiring user password information in real time;
specifically, the password acquisition unit is arranged on the bank website business library, and after a user enters the bank website business library area, the password acquisition unit acquires the user password information of the bank website business library to be accessed in real time;
and determining the user identity information of the bank website service library to be accessed based on the user image information, the user fingerprint information and the user password information of the bank website service library to be accessed obtained in real time.
Specifically, the image acquisition unit includes:
The first image information acquisition module is used for acquiring first image information of a banking website service library which is successfully accessed by a user at the current time in real time;
the second image information acquisition module is used for taking the image information acquired when the user successfully accesses the bank website service library last time as second image information;
the first similarity value acquisition module is used for comparing the similarity between the first image information and the second image information to obtain a first similarity value;
the second similarity value acquisition module is used for comparing the similarity between the first image information and the corresponding user image information when the banking website service library is initially recorded to obtain a second similarity value;
the third similarity value acquisition module is used for comparing the similarity between the second image information and the corresponding user image information when the banking website service library is initially recorded to obtain a third similarity value;
the first comparison module is configured to set an image similarity comparison threshold of the user for the next pre-access to the bank website service library by using the first similarity value, the second similarity value and the third similarity value, where the image similarity comparison threshold is obtained by the following formula:
Wherein S is y1 Representing an image similarity comparison threshold, wherein the upper and lower limit values of the image similarity comparison threshold are 0.93-0.97; s is S 01 、S 02 And S is 03 Respectively representing a first similarity value, a second similarity value and a third similarity value; s is S 0 Representing a preset reference image similarity threshold value, wherein the value range is 0.94-0.96;
the image verification determining module is used for collecting image information of the user to be compared with corresponding image information of the user when the user accesses the bank website service library in advance next time, obtaining a similarity value, comparing the similarity value with the image similarity comparison threshold value, and recognizing that the image verification fails when the similarity value is lower than the image similarity comparison threshold value.
The technical effects of the technical scheme are as follows: the user authentication is enhanced, namely, by collecting the image information of the user, the system can perform authentication when the user accesses the bank website service library. This authentication is safer than traditional user names and passwords because it is based on biometric (image) authentication.
Dynamic similarity threshold the system uses a dynamically calculated similarity threshold to evaluate the identity of the user. The similarity threshold is calculated according to the historical behaviors of the user and the similarity of the images, so that the system can adapt to the verification requirements of different users and different situations. This may increase the flexibility and security of the system.
Anti-fraud protection by comparing the user's current image information with the image information at the time of previous successful access and with the user's image information initially entered, the system can detect potential fraud. If the similarity value is below a set threshold, the system will identify that the image authentication failed, thereby preventing unauthorized access.
By using biometric verification, the system reduces the risk of the user impersonating the identity of others, as it is difficult for an attacker to forge or imitate the user's biometric (image).
The adaptability is that the similarity threshold value of the system is adjusted according to the historical behaviors and characteristics of the user, which means that the system can adapt to the change of the user and the verification requirements under different situations, and the user experience is improved.
In general, the technical scheme has the main technical effects of improving the safety of a bank website service library, reducing the risks of fraudulent use and fraud, and enhancing the accuracy and reliability of user identity verification. This is a valuable technological innovation for financial institutions and other applications requiring a high degree of security.
Specifically, the fingerprint acquisition unit includes:
the first fingerprint information acquisition module is used for acquiring first fingerprint information of a banking website service library which is successfully accessed by a user at the current time in real time;
The second fingerprint information acquisition module is used for taking the fingerprint information acquired when the user successfully accesses the bank website service library last time as second fingerprint information;
the first fingerprint similarity value acquisition module is used for comparing the similarity of the first fingerprint information and the second fingerprint information to obtain a first fingerprint similarity value;
the second fingerprint similarity value acquisition module is used for comparing the similarity between the first fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a second fingerprint similarity value;
the third fingerprint similarity value acquisition module is used for comparing the similarity between the second fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a third fingerprint similarity value;
the fingerprint similarity comparison factor acquisition module is used for setting the fingerprint similarity comparison factor of the bank website business library which is accessed by the user next time by utilizing the first fingerprint similarity value, the second fingerprint similarity value and the third fingerprint similarity value; the fingerprint similarity comparison factor is obtained through the following formula:
wherein S is e Representing a fingerprint similarity comparison factor; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96; e represents a constant;
and the fingerprint verification module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and performing fingerprint verification when the user accesses the bank website service library next time by utilizing the fingerprint similarity comparison threshold value.
The technical effects of the technical scheme are as follows: biometric identification-the system uses the user's fingerprint information for authentication. The fingerprint is a unique biometric feature and is unique to each person and thus can be used for highly reliable authentication.
Dynamic similarity threshold unlike conventional static thresholds, the system uses a dynamically calculated fingerprint similarity comparison factor to determine the fingerprint similarity comparison threshold at the next pre-visit. This allows the system to dynamically adjust the threshold based on the user's historical behavior and fingerprint similarity, improving the adaptability and security of the system.
Anti-fraud protection-similar to image verification in the previous scenario, the system may detect potential fraud by comparing the user's current and historical fingerprint information with the user's fingerprint information initially entered. If the fingerprint similarity is below a set threshold, the system will identify fingerprint verification as failed, thereby enhancing security.
User friendly fingerprint verification is generally a convenient way of authentication for users because they do not need to remember passwords or carry identity documents. This may improve the user experience.
High accuracy authentication fingerprint identification is often highly accurate because the fingerprint itself is unique and difficult to forge or imitate.
In general, the technical scheme has the main technical effects of improving the safety of a bank website service library, reducing the risks of fraudulent use and fraud, and enhancing the accuracy and reliability of user identity verification. This is a valuable technological innovation for financial institutions and other applications requiring a high degree of security.
Specifically, the fingerprint verification module includes:
the threshold value acquisition module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and the fingerprint similarity comparison threshold value is acquired by the following formula:
wherein S is y1 The fingerprint similarity comparison threshold is represented, and the upper and lower limit values of the fingerprint similarity comparison threshold are 0.92-0.98; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96;
the fingerprint comparison module is used for collecting fingerprint information of the user and comparing the fingerprint image information corresponding to the initial record of the banking website service library when the user accesses the banking website service library for the next time, and obtaining a fingerprint similarity value;
and the fingerprint verification and identification module is used for comparing the fingerprint similarity value with the fingerprint similarity comparison threshold value, and identifying that the fingerprint verification fails when the fingerprint similarity value is lower than the fingerprint image similarity comparison threshold value.
The technical effects of the technical scheme are as follows: fingerprint similarity comparison threshold dynamic adjustment: similar to the previous solution, the technical solution also uses a dynamically calculated fingerprint similarity comparison threshold to perform adaptive authentication according to the user's historical behavior and fingerprint similarity. This helps to increase the flexibility and safety of the system.
High-precision fingerprint verification: fingerprint similarity comparisons are typically very accurate because fingerprints are unique biometric features. This means that the system can verify the identity of the user on a highly reliable basis.
Anti-fraud protection: by comparing the user's current fingerprint information with the initially entered fingerprint image information and the historical fingerprint similarity values, the system is able to detect potential fraud. If the fingerprint similarity is below a set threshold, the system will identify fingerprint verification as failed, thereby enhancing security.
The method is user-friendly: fingerprint verification is often a convenient way for users to authenticate because they need only place a fingerprint, and do not need to remember a complicated password or carry an identification document. This may improve the user experience.
In general, the main technical effects of the technical scheme are similar to those of the technical scheme, and the technical scheme mainly comprises the steps of improving the safety of a banking website service library, reducing the risks of impossibility and fraud and enhancing the accuracy and reliability of user identity verification. This is a valuable technological innovation for financial institutions and other applications requiring a high degree of security.
It is to be noted that, the image acquisition unit, the fingerprint acquisition unit and the password acquisition unit are used for respectively acquiring the user image information, the user fingerprint information and the user password information in real time, and according to the user image information, the user fingerprint information and the user password information acquired in real time, verification analysis is performed on the user image information, the user fingerprint information and the user password information, and only if the user image information, the user fingerprint information and the user password information acquired in real time are matched with the image, the fingerprint and the password information of the recorded administrator, the user can access the bank website service library.
The data processing module is used for comprehensively processing the user identity information acquired in real time;
it should be noted that the data processing module includes a data retrieving unit, a data grouping unit and a feature extracting unit;
the data retrieval unit is used for retrieving user identity information acquired in real time;
specifically, acquiring user identity information acquired in real time, searching the user identity information one by one based on a sequential searching method, filtering out user identity information which is useless for intelligent management of a banking website service library, and determining user identity information which is useful for intelligent management of the banking website service library;
the data grouping unit is used for grouping the retrieved user identity information;
specifically, user identity information which is useful for intelligent management of a bank website service library is obtained, the user identity information is grouped based on a mutual exclusion principle, a user identity data set is determined, and different user identity data are stored in each set;
the feature extraction unit is used for extracting features of the grouped user identity data sets;
specifically, user identity data of each group is obtained, feature extraction is carried out on the user identity data, and user feature information of a bank website service library to be accessed is determined.
The verification analysis module is used for carrying out verification analysis on the user characteristic information of the bank website service library to be accessed;
it should be noted that the verification analysis module includes an index retrieving unit and a verification analysis unit;
the index retrieving unit is used for retrieving the administrator information by the index;
specifically, user characteristic information of a bank website service library to be accessed is obtained, manager information matched with the user characteristic information is searched out based on the user characteristic information, and the indexed manager information is called out;
the verification analysis unit is used for carrying out verification analysis on the user characteristic information;
specifically, user characteristic information of the bank website service library to be accessed and manager information of index retrieval are obtained, verification analysis is carried out on the user characteristic information based on the manager information of index retrieval, and a user verification analysis result of the bank website service library to be accessed is determined.
The intelligent management module is used for intelligently managing the bank website service library.
It should be noted that, the intelligent management module includes a management formulation unit and a management execution unit;
the management making unit is used for making an intelligent management method of the bank website service library;
Specifically, acquiring a user verification analysis result of a bank website service library to be accessed, and performing deep mining on the user verification analysis result based on a data mining technology to determine an intelligent management method of the bank website service library;
the management execution unit is used for intelligently managing the bank website service library;
specifically, an intelligent management method of the bank website service library is obtained, and intelligent management is performed on the bank website service library based on the intelligent management method of the bank website service library.
It should be noted that, when the bank website service library is intelligently managed, the method includes:
acquiring user characteristic information of a bank website service library to be accessed;
based on the user characteristic information, retrieving the administrator information matched with the user characteristic information, and calling out the indexed administrator information;
acquiring user characteristic information of a bank website service library to be accessed and manager information of index retrieval, and performing verification analysis on the user characteristic information based on the manager information of the index retrieval;
aiming at the situation that the user characteristic information is matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication is successful, and the user can access the bank website service library;
Aiming at the situation that the user characteristic information is not matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication fails, and the user cannot access the bank website service library;
acquiring a user verification analysis result of a bank node service library to be accessed, performing deep mining on the user verification analysis result based on a data mining technology, determining an intelligent management method of the bank node service library, and performing intelligent management on the bank node service library based on the intelligent management method of the bank node service library;
aiming at the condition that the user authentication is successful and the user can access the bank website service library, the bank website service library is opened, and the user enters the bank website service library;
aiming at the situation that the user authentication fails and the user cannot access the bank website service library, the bank website service library immediately alarms, the remote dialogue drives away the user, and remote early warning information is sent to the manager and the bank website.
The intelligent management of the bank website service library is carried out, and the intelligent management condition of the bank website service library is shown in table 1:
table 1: intelligent management condition of bank website business library
In order to better show the implementation flow of intelligent management of the bank website service library, the embodiment now provides an implementation method of intelligent management of the bank website service library, which is implemented based on the intelligent management system of the bank website service library and comprises the following steps:
S1: the method comprises the steps of inputting manager information of a bank website service library through an information input module, collecting user identity information of the bank website service library to be accessed in real time through an information collection module, comprehensively processing the user identity information collected in real time through a data processing module, and determining user characteristic information of the bank website service library to be accessed;
s2: performing verification analysis on the user characteristic information of the bank website service library to be accessed through a verification analysis module, and performing verification analysis on the user characteristic information based on the recorded manager information to determine a user verification analysis result of the bank website service library to be accessed;
s3: the intelligent management module is used for carrying out intelligent management on the bank website service library, the data mining technology is used for carrying out deep mining on the user verification analysis result, the intelligent management method of the bank website service library is determined, and the intelligent management method of the bank website service library is used for carrying out intelligent management on the bank website service library.
In summary, the intelligent management system and the implementation method of the bank node business library of the invention are used for inputting the administrator information of the bank node business library, collecting the user identity information of the bank node business library to be accessed in real time, comprehensively processing the user identity information, determining the user characteristic information of the bank node business library to be accessed, carrying out verification analysis on the user characteristic information based on the input administrator information, determining the user verification analysis result of the bank node business library to be accessed, carrying out deep mining on the user verification analysis result based on the data mining technology, determining the intelligent management method of the bank node business library, and carrying out intelligent management on the bank node business library based on the intelligent management method of the bank node business library, so that the bank node business library can be effectively monitored and managed when in use, and the intelligent management effect of the bank node business library can be improved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The intelligent management system for the bank website business library is characterized by comprising the following components:
the information input module is used for inputting the administrator information of the bank website business library, wherein the administrator information comprises an administrator name, an administrator gender, an administrator contact way, an administrator authentication account number and a password;
The information acquisition module is used for acquiring user identity information of a bank website service library to be accessed in real time, wherein the user identity information comprises user image information, user fingerprint information and user password information;
the data processing module is used for comprehensively processing the user identity information acquired in real time, acquiring the user identity information of the bank website service library to be accessed, searching, grouping and extracting the characteristics of the user identity information, and determining the user characteristic information of the bank website service library to be accessed;
the verification analysis module is used for carrying out verification analysis on the user characteristic information of the bank website service library to be accessed, obtaining the user characteristic information of the bank website service library to be accessed, carrying out verification analysis on the user characteristic information based on the recorded manager information, and determining a user verification analysis result of the bank website service library to be accessed;
the intelligent management module is used for intelligently managing the bank website service library, acquiring a user verification analysis result of the bank website service library to be accessed, carrying out deep mining on the user verification analysis result based on a data mining technology, determining an intelligent management method of the bank website service library, and carrying out intelligent management on the bank website service library based on the intelligent management method of the bank website service library;
The information acquisition module comprises:
the image acquisition unit is used for acquiring the image information of the user in real time, and is arranged on the bank website business library, and the image acquisition unit is used for acquiring the image information of the user to be accessed to the bank website business library in real time after the user enters the bank website business library area;
the fingerprint acquisition unit is used for acquiring user fingerprint information in real time, and is arranged on the bank website business library, and the user fingerprint information of the bank website business library to be accessed is acquired in real time through the fingerprint acquisition unit after the user enters the bank website business library area;
the password acquisition unit is used for acquiring user password information in real time, is arranged on the bank website business library, and acquires the user password information of the bank website business library to be accessed in real time through the password acquisition unit after a user enters the bank website business library area;
based on the user image information, the user fingerprint information and the user password information of the bank website service library to be accessed are obtained in real time, the user identity information of the bank website service library to be accessed is determined;
the image acquisition unit includes:
the first image information acquisition module is used for acquiring first image information of a banking website service library which is successfully accessed by a user at the current time in real time;
The second image information acquisition module is used for taking the image information acquired when the user successfully accesses the bank website service library last time as second image information;
the first similarity value acquisition module is used for comparing the similarity between the first image information and the second image information to obtain a first similarity value;
the second similarity value acquisition module is used for comparing the similarity between the first image information and the corresponding user image information when the banking website service library is initially recorded to obtain a second similarity value;
the third similarity value acquisition module is used for comparing the similarity between the second image information and the corresponding user image information when the banking website service library is initially recorded to obtain a third similarity value;
the first comparison module is configured to set an image similarity comparison threshold of the user for the next pre-access to the bank website service library by using the first similarity value, the second similarity value and the third similarity value, where the image similarity comparison threshold is obtained by the following formula:
；
wherein S is y1 Representing an image similarity comparison threshold, wherein the upper and lower limit values of the image similarity comparison threshold are 0.93-0.97; s is S 01 、S 02 And S is 03 Respectively representing a first similarity value, a second similarity value and a third similarity value; s is S 0 Representing a preset reference image similarity threshold value, wherein the value range is 0.94-0.96; e represents a constant;
the image verification determining module is used for acquiring image information of a user to be compared with corresponding image information of the user when the user accesses the bank website service library in advance next time, obtaining a similarity value, comparing the similarity value with the image similarity comparison threshold, and recognizing that the image verification fails when the similarity value is lower than the image similarity comparison threshold;
the fingerprint acquisition unit includes:
the first fingerprint information acquisition module is used for acquiring first fingerprint information of a banking website service library which is successfully accessed by a user at the current time in real time;
the second fingerprint information acquisition module is used for taking the fingerprint information acquired when the user successfully accesses the bank website service library last time as second fingerprint information;
the first fingerprint similarity value acquisition module is used for comparing the similarity of the first fingerprint information and the second fingerprint information to obtain a first fingerprint similarity value;
The second fingerprint similarity value acquisition module is used for comparing the similarity between the first fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a second fingerprint similarity value;
the third fingerprint similarity value acquisition module is used for comparing the similarity between the second fingerprint information and the corresponding user fingerprint information when the banking website service library is initially recorded to obtain a third fingerprint similarity value;
the fingerprint similarity comparison factor acquisition module is used for setting the fingerprint similarity comparison factor of the bank website business library which is accessed by the user next time by utilizing the first fingerprint similarity value, the second fingerprint similarity value and the third fingerprint similarity value; the fingerprint similarity comparison factor is obtained through the following formula:
；
wherein S is e Representing a fingerprint similarity comparison factor; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96; e represents a constant;
the fingerprint verification module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and performing fingerprint verification when the user accesses the bank website service library next time by utilizing the fingerprint similarity comparison threshold value;
The fingerprint verification module comprises:
the threshold value acquisition module is used for acquiring a fingerprint similarity comparison threshold value by utilizing the fingerprint similarity comparison factor, and the fingerprint similarity comparison threshold value is acquired by the following formula:
；
wherein S is y1 The fingerprint similarity comparison threshold is represented, and the upper and lower limit values of the fingerprint similarity comparison threshold are 0.92-0.98; s is S 11 、S 12 And S is 13 Respectively representing a first fingerprint similarity value, a second fingerprint similarity value and a third fingerprint similarity value; s is S 1 Representing a preset fingerprint reference similarity threshold value, wherein the value range is 0.93-0.96;
the fingerprint comparison module is used for collecting fingerprint information of the user and comparing the fingerprint image information corresponding to the initial record of the banking website service library when the user accesses the banking website service library for the next time, and obtaining a fingerprint similarity value;
and the fingerprint verification and identification module is used for comparing the fingerprint similarity value with the fingerprint similarity comparison threshold value, and identifying that the fingerprint verification fails when the fingerprint similarity value is lower than the fingerprint similarity comparison threshold value.
2. The intelligent banking outlet library management system according to claim 1, wherein the information entry module comprises:
The information registration unit is used for registering the information of the manager, the manager registers the information of the manager according to the registration window provided by the information registration unit, the name, the sex, the contact way and the authentication account number of the manager are input, and the registration result of the information of the manager is determined;
and the information storage unit is used for storing the manager information, and after the manager information is registered, the intelligent management system of the banking website business library generates corresponding manager information and stores the manager information in the information storage unit.
3. The intelligent banking repository management system according to claim 2, wherein the data processing module includes:
the data retrieval unit is used for retrieving the user identity information acquired in real time;
acquiring user identity information acquired in real time, searching the user identity information one by one based on a sequential searching method, filtering out user identity information which is useless for intelligent management of a banking outlet business library, and determining user identity information which is useful for intelligent management of the banking outlet business library;
a data grouping unit for grouping the retrieved user identity information;
acquiring user identity information useful for intelligent management of a banking website service library, grouping the user identity information based on a mutual exclusion principle, and determining user identity data groups, wherein different user identity data are stored in each group;
The feature extraction unit is used for extracting features of the grouped user identity data sets;
and acquiring user identity data of each group, and carrying out feature extraction on the user identity data to determine user feature information of the bank website service library to be accessed.
4. The intelligent banking repository management system according to claim 3, wherein the verification analysis module includes:
the index calling unit is used for indexing and calling the administrator information;
acquiring user characteristic information of a bank website service library to be accessed, searching out manager information matched with the user characteristic information based on the user characteristic information, and calling out the indexed manager information;
the verification analysis unit is used for carrying out verification analysis on the user characteristic information;
and acquiring user characteristic information of the bank website service library to be accessed and manager information of index retrieval, and performing verification analysis on the user characteristic information based on the manager information of index retrieval to determine a user verification analysis result of the bank website service library to be accessed.
5. The intelligent banking repository management system according to claim 4, wherein the intelligent management module includes:
The management formulating unit is used for formulating an intelligent management method of the banking website business library;
acquiring a user verification analysis result of a bank website service library to be accessed, and performing deep mining on the user verification analysis result based on a data mining technology to determine an intelligent management method of the bank website service library;
the management execution unit is used for intelligently managing the bank website service library;
the intelligent management method of the bank website service library is obtained, and intelligent management is carried out on the bank website service library based on the intelligent management method of the bank website service library.
6. The method for realizing intelligent management of the banking outlet business library is realized based on the banking outlet business library intelligent management system as claimed in claim 5, and is characterized by comprising the following steps:
s1: the method comprises the steps of inputting manager information of a bank website service library through an information input module, collecting user identity information of the bank website service library to be accessed in real time through an information collection module, comprehensively processing the user identity information collected in real time through a data processing module, and determining user characteristic information of the bank website service library to be accessed;
s2: performing verification analysis on the user characteristic information of the bank website service library to be accessed through a verification analysis module, and performing verification analysis on the user characteristic information based on the recorded manager information to determine a user verification analysis result of the bank website service library to be accessed;
S3: the intelligent management module is used for carrying out intelligent management on the bank website service library, the data mining technology is used for carrying out deep mining on the user verification analysis result, the intelligent management method of the bank website service library is determined, and the intelligent management method of the bank website service library is used for carrying out intelligent management on the bank website service library.
7. The method for implementing intelligent management of a banking outlet service library according to claim 6, wherein in S2, the user characteristic information of the banking outlet service library to be accessed is verified and analyzed by a verification and analysis module, and the following operations are performed:
acquiring user characteristic information of a bank website service library to be accessed;
based on the user characteristic information, retrieving the administrator information matched with the user characteristic information, and calling out the indexed administrator information;
acquiring user characteristic information of a bank website service library to be accessed and manager information of index retrieval, and performing verification analysis on the user characteristic information based on the manager information of the index retrieval;
aiming at the situation that the user characteristic information is matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication is successful, and the user can access the bank website service library;
Aiming at the situation that the user characteristic information is not matched with the administrator information, the user verification analysis result of the bank website service library to be accessed is that the user authentication fails, and the user cannot access the bank website service library;
acquiring a user verification analysis result of a bank node service library to be accessed, performing deep mining on the user verification analysis result based on a data mining technology, determining an intelligent management method of the bank node service library, and performing intelligent management on the bank node service library based on the intelligent management method of the bank node service library;
aiming at the condition that the user authentication is successful and the user can access the bank website service library, the bank website service library is opened, and the user enters the bank website service library;
aiming at the situation that the user authentication fails and the user cannot access the bank website service library, the bank website service library immediately alarms, the remote dialogue drives away the user, and remote early warning information is sent to the manager and the bank website.
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