CN114817518A - License handling method, system and medium based on big data archive identification - Google Patents
License handling method, system and medium based on big data archive identification Download PDFInfo
- Publication number
- CN114817518A CN114817518A CN202210702605.XA CN202210702605A CN114817518A CN 114817518 A CN114817518 A CN 114817518A CN 202210702605 A CN202210702605 A CN 202210702605A CN 114817518 A CN114817518 A CN 114817518A
- Authority
- CN
- China
- Prior art keywords
- information
- data
- license
- archive
- alarm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/322—Trees
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The embodiment of the application provides a license handling method, a license handling system and a license handling medium based on big data archive identification. The method comprises the following steps: acquiring a plurality of file data and a plurality of monitoring information of a license applicant in a preset range, extracting relevant search information and information release sources of characteristic data, performing word meaning analysis according to each search information of the information release sources, extracting alarm information, performing alarm level division on the alarm information by combining the authorization level of the information release sources, acquiring a security evaluation value of the license applicant according to the alarm information and the monitoring information, correcting the security evaluation value according to behavior fitting data acquired by calculation to acquire a security correction value, and comparing the security evaluation value with a security evaluation threshold value to judge the authorization condition of the applicant; therefore, the license applicant information is processed and evaluated based on the big data file, the authorization judgment technology for obtaining the security correction value by processing the applicant alarm information and the monitoring information is realized, and the accurate identification degree of the license applicant security evaluation is improved.
Description
Technical Field
The application relates to the technical field of big data archive and license handling, in particular to a license handling method, system and medium based on big data archive identification.
Background
The requirement of diversified social groups on certificate handling, particularly on examination and approval handling difficulty of important certificates is increased, file safety information and risk conditions of certificate applying groups must be known in time according to social safety requirements, the core requirement of certificate checking is that the group safety information can be obtained intuitively and accurately, and effective identification of certificate applying group file information is of great significance for enhancing social safety management.
Most of the existing license handling methods carry out investigation and judgment according to filing information and archival data of a sponsor, and lack of accurate and scientific acquisition way and intelligent examination means of archival data and dynamic information, so that the existing license handling methods lack accurate and effective discrimination capability on archival background data and identification authorization standards, do not have intelligent means of dynamic processing according to big data, and are difficult to realize intelligent identification and authorization according to the archival data information of the sponsor
In view of the above problems, an effective technical solution is urgently needed.
Disclosure of Invention
The embodiment of the application aims to provide a license handling method, a license handling system and a license handling medium based on big data archive identification, and the accuracy of information discrimination of license applicant conditions can be improved.
The embodiment of the application also provides a license handling method based on big data archive identification, which comprises the following steps:
acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information release source;
performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
acquiring a security evaluation value of the certificate sponsor according to the file credit value and the security credit value;
performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data;
correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
Optionally, in the license handling method based on big data archive identification according to the embodiment of the present application, the obtaining of multiple archive data and multiple monitoring information of a license candidate in a preset range includes:
extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by the license applicant;
acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
generating an archive data signaling according to the mapping data information set;
acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
and screening out a plurality of pieces of monitoring information according to the professional attributes of the certificate sponsor.
Optionally, in the license handling method based on big data archive identification according to the embodiment of the present application, the extracting feature data according to the archive data and obtaining related search information of the feature data and a corresponding information publishing source include:
carrying out data classification according to the archive data and extracting attribute information data;
the attribute information data comprises occupational attribute data, confidentiality level data, safety influence data, transaction interest and tax data and intercourse activity data;
generating a file organization tree of the license sponsor according to the attribute information data;
extracting characteristic data according to the file organization tree and the type of the license application, wherein the characteristic data reflects attribute information corresponding to the license application person;
and searching and acquiring a data information chain and an information release source related to the information chain according to the characteristic data.
Optionally, in the license handling method based on big data archive identification according to the embodiment of the present application, performing word sense analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information in combination with an authorization level of the information issuing source includes:
establishing a word meaning analysis model;
training the word meaning analysis model according to sample data in the archive;
preprocessing according to the data information chain association search information to extract information publishing source attribute data and related information segments;
inputting the related information segment into the word meaning analysis model and outputting alarm information related to the search information;
obtaining an authorization level according to the information publishing source attribute data;
and correspondingly dividing the alarm level of the alarm information according to the authorization level.
Optionally, in the license transaction method based on big data archive identification according to the embodiment of the present application, the obtaining a archive credit value and a security credit value according to the obtained multiple alarm information and the multiple monitoring information, and obtaining a security evaluation value of the license applicant according to the archive credit value and the security credit value include:
clustering according to the acquired alarm information and monitoring information;
according to m alarm information
Credit of
And corresponding authority levels
PolymerisationObtaining the credit value of the file
；
According to n monitoring information
Credit of
And corresponding authority levels
Aggregating to obtain a secure credit value
；
According to the file credit value
And security credit value
Calculating to obtain a safety evaluation value
。
Optionally, in the license handling method based on big data archive identification according to the embodiment of the present application, the calculating a degree of behavior fitting according to the alarm information and the monitoring information to obtain behavior fitting data includes:
acquiring information data vectors of the alarm information and the monitoring information;
calculating a behavior distance relation of the information data vector to obtain behavior fitting data;
wherein the alarm information data vector is expressed as
The monitoring information data vector is expressed as
；
The behavior fitting data
。
Optionally, in the license handling method based on big data archive identification according to the embodiment of the present application, the correcting the security evaluation value according to the behavior fitting data to obtain a security correction value includes:
the safety correction value is calculated by the formula:
wherein Q' is a safety correction value, Q is a safety evaluation value, P is behavior fitting data, e is a maximum alarm level,
in order to apply for the factor of the safety influence of the person,
a sponsor privacy level coefficient.
In a second aspect, an embodiment of the present application provides a license handling system based on big data archive identification, where the system includes: the storage comprises a program of a license handling method based on big data archive identification, and the program of the license handling method based on big data archive identification realizes the following steps when being executed by the processor:
acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information release source;
performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
acquiring a security evaluation value of the certificate sponsor according to the file credit value and the security credit value;
performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data;
correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
Optionally, in the license handling system based on big data archive identification according to the embodiment of the present application, the obtaining of multiple archive data and multiple pieces of monitoring information of the license candidate in the preset range includes:
extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by the license applicant;
acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
generating an archive data signaling according to the mapping data information set;
acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
and screening out a plurality of pieces of monitoring information according to the professional attributes of the certificate sponsor.
In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium includes a license handling method program based on big data archive identification, and when the license handling method program based on big data archive identification is executed by a processor, the steps of the license handling method based on big data archive identification as described in any one of the above are implemented.
As can be seen from the above, the license handling method and system based on big data file identification provided in the embodiment of the present application obtains a plurality of file data and a plurality of monitoring information of a license applicant within a preset range, extracts feature data according to the file data, obtains related search information of the feature data and a corresponding information publishing source, performs semantic analysis according to each search information published by the information publishing source, extracts alarm information, performs alarm level division according to an authorization level of the information publishing source, obtains a file credit value and a security credit value according to the obtained plurality of alarm information and the plurality of monitoring information, obtains a security evaluation value of the license applicant according to the file credit value and the security credit value, calculates behavior fitting degree according to the alarm information and the monitoring information, obtains behavior fitting data, corrects the security evaluation value according to the behavior fitting data, and obtains a security correction value, comparing the security correction value with a security review threshold value to judge the license authorization condition of a license applicant; therefore, the license applicant information is processed and evaluated based on the big data file, the authorization judgment technology for obtaining the security correction value by processing the applicant alarm information and the monitoring information is realized, and the accurate identification degree of the license applicant security evaluation is improved.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
FIG. 1 is a flowchart of a license handling method based on big data archive identification according to an embodiment of the present application;
fig. 2 is a flowchart of acquiring a plurality of archive data and a plurality of monitoring information in the license handling method based on big data archive identification according to the embodiment of the present application;
fig. 3 is a flowchart of related search information for obtaining feature data and a corresponding information publishing source in the license handling method based on big data archive identification according to the embodiment of the present application;
fig. 4 is a schematic structural diagram of a license handling system based on big data archive identification according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to FIG. 1, FIG. 1 is a flow chart of a license transaction method based on big data archive identification in some embodiments of the present application. The license handling method based on big data archive identification is used in terminal equipment, such as computers, mobile phone terminals and the like. The license handling method based on big data archive identification comprises the following steps:
s101, acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
s102, extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information publishing source;
s103, performing word meaning analysis according to each piece of search information issued by the information issuing source, extracting alarm information, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
s104, respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
s105, obtaining a security evaluation value of the license sponsor according to the archive credit value and the security credit value;
s106, calculating the behavior fitting degree according to the alarm information and the monitoring information to obtain behavior fitting data;
s107, correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and S108, comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
It should be noted that the preset scope of data information collection of the sponsor is determined according to the license type and the attribute of the license sponsor, the conventional license can set the conventional information of the sponsor such as occupation, income, unit, family condition and the like as the preset scope of information data collection of the sponsor, the special license such as the official external license and the special professional license can set the special information of the sponsor such as safety information, background, privacy level and social information as the preset scope of information data collection of the sponsor, collecting file data and monitoring information of the sponsor in a preset range, searching according to the characteristic data to obtain search information and an information issuing source, analyzing and dividing to obtain alarm information, further obtaining a safety evaluation value and correcting to obtain a correction value, and judging the license authorization condition of the sponsor according to the threshold comparison result of the safety correction value and the preset safety evaluation threshold.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for license transaction based on big data archive identification according to some embodiments of the present application, wherein the method includes obtaining a plurality of archive data and a plurality of monitoring information. According to the embodiment of the invention, the acquisition of a plurality of archive data and a plurality of monitoring information of the license candidate in the preset range specifically comprises the following steps:
s201, extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by a license applicant;
s202, acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
s203, generating a file data signaling according to the mapping data information set;
s204, acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
s205, screening out multiple pieces of monitoring information according to the professional attributes of the certificate sponsor.
It should be noted that, in order to obtain the precise data information of the license sponsor, a plurality of pieces of data are correspondingly extracted in the archive according to the data extraction range set by the license type, the plurality of pieces of data are corresponding capture pieces of data which are divided for the license type in the archive library, and then a mapping data information set is obtained according to the plurality of pieces of data and an archive data signaling is generated, the data mapping mode is preset according to the license type, the monitoring information set is obtained in the third-party monitoring information platform according to the archive data signaling, the obtained monitoring information set comprises multiple kinds of monitoring information aggregated by multiple channels, the universality and the overlapping performance are achieved, then the monitoring information set is screened according to the professional attributes of the sponsor, multiple pieces of targeted monitoring information are obtained, and the accuracy and the pertinence of data information collection can be improved through collection and screening.
Referring to fig. 3, fig. 3 is a flowchart illustrating related search information and corresponding information distribution sources for obtaining feature data in a license transaction method based on big data file identification according to some embodiments of the present application. According to the embodiment of the present invention, the extracting of the feature data according to the archive data and the obtaining of the relevant search information of the feature data and the corresponding information publishing source specifically include:
s301, carrying out data classification according to the archive data and extracting attribute information data;
s302, the attribute information data comprise professional attribute data, confidentiality level data, safety influence data, transaction interest and tax data and intercourse activity data;
s303, generating a file organization tree of the license sponsor according to the attribute information data;
s304, extracting characteristic data according to the file organization tree and the type of the license application, wherein the characteristic data reflects attribute information corresponding to the license application by the license application person;
s305, searching and acquiring a data information chain and an information release source related to the information chain according to the characteristic data.
It should be noted that, in order to evaluate the relevant search information and information distribution source of the sponsor profile data, by classifying the archive data according to the types of application certificates and extracting attribute information data comprising occupational attribute data, confidentiality level data, safety influence data, transaction interest data and communication activity data, generating a file organization tree of the sponsor according to the attribute information data, wherein the file organization tree can reflect the complete picture of the data information situation corresponding to the license type of the sponsor through branches and trunks, and then extracting corresponding characteristic data, searching and acquiring a data information chain and an associated information release source according to the characteristic data, and acquiring data information of the sponsor and an information chain source according to the license type in a targeted manner through generation of the file organization tree and extraction of the characteristic data, so that the sponsor can be further effectively evaluated.
According to the embodiment of the present invention, the word meaning analysis is performed according to each piece of search information issued by the information issuing source, alarm information is extracted, and alarm level division is performed on the alarm information in combination with the authorization level of the information issuing source, specifically:
establishing a word meaning analysis model;
training the word meaning analysis model according to sample data in the archive;
preprocessing according to the data information chain association search information to extract information publishing source attribute data and related information segments;
inputting the related information segment into the word meaning analysis model and outputting alarm information related to the search information;
obtaining an authorization level according to the information publishing source attribute data;
and correspondingly dividing the alarm level of the alarm information according to the authorization level.
The method includes the steps of establishing a semantic analysis model for further carrying out data information safety judgment according to a sponsor data information chain and associated search information, wherein the semantic analysis model is obtained by training according to sample data in a large number of archives, and the result is more accurate when the data volume is larger.
According to the embodiment of the present invention, the obtaining of the archival credit value and the security credit value according to the obtained plurality of alarm information and the plurality of monitoring information, and the obtaining of the security evaluation value of the license sponsor according to the archival credit value and the security credit value specifically include:
clustering according to the acquired alarm information and monitoring information;
according to m alarm information
Credit of
And corresponding authority levels
Aggregate to obtain archival credit values
；
According to n monitoring information
Is sent toDosage of
And corresponding authority levels
Aggregating to obtain a secure credit value
；
According to the file credit value
And security credit value
Calculating to obtain a safety evaluation value
It should be noted that, in order to judge the security condition of multiple pieces of alarm information and monitoring information, the credit amounts of the alarm information and the monitoring information are respectively aggregated to obtain corresponding credit values, and then security evaluation values are further obtained, so that the security condition of the obtained information can be reflected, wherein the credit amounts are the quantity values which can reflect the security attribute of the information and are obtained from a third-party monitoring information platform, and the file credit values are the quantity values
Secure credit value
And judging the safety degree of the license sponsor for submitting the license according to the safety evaluation value Q.
According to the embodiment of the present invention, the calculating the degree of fitting of the behavior according to the alarm information and the monitoring information to obtain the behavior fitting data specifically includes:
acquiring information data vectors of the alarm information and the monitoring information;
calculating a behavior distance relation of the information data vector to obtain behavior fitting data;
wherein the alarm information data vector is expressed as
The monitoring information data vector is expressed as
；
The behavior fitting data
。
It should be noted that, in order to obtain the relationship between information, the relationship between information data is obtained by replacing information with information data vectors and calculating the distance relationship between the vectors, and in this scheme, behavior fitting data is obtained by calculation as the relationship between alarm information and monitoring information.
According to the embodiment of the present invention, the correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value specifically includes:
the safety correction value is calculated by the formula:
wherein Q' is a safety correction value, Q is a safety evaluation value, P is behavior fitting data, e is a maximum alarm level,
in order to apply for the factor of the safety influence of the person,
a privacy level coefficient for the sponsor.
It should be noted that, in order to improve the accuracy of the safety condition of the sponsor, the safety evaluation value is corrected through the behavior fitting data in combination with the attribute coefficient associated with the sponsor and the acquired alarm level, so that the accuracy of the safety correction value can be improved, finally, the license authorization condition of the license sponsor is judged through comparison between the safety correction value and a preset safety evaluation threshold value, and the safety influence coefficient and the confidentiality level coefficient are acquired according to a third-party platform of the archive.
As shown in fig. 4, the present invention further discloses a license handling system based on big data archive identification, which includes a memory 41 and a processor 42, wherein the memory includes a license handling method program based on big data archive identification, and the license handling method program based on big data archive identification is executed by the processor to implement the following steps:
acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information release source;
performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
acquiring a security evaluation value of the certificate sponsor according to the file credit value and the security credit value;
performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data;
correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
It should be noted that the preset scope of data information collection of the sponsor is determined according to the license type and the attribute of the license sponsor, the conventional license can set the conventional information of the sponsor such as occupation, income, unit, family condition and the like as the preset scope of information data collection of the sponsor, the special license such as the official external license and the special professional license can set the special information of the sponsor such as safety information, background, privacy level and social information as the preset scope of information data collection of the sponsor, collecting file data and monitoring information of the sponsor in a preset range, searching according to the characteristic data to obtain search information and an information issuing source, analyzing and dividing to obtain alarm information, further obtaining a safety evaluation value and correcting to obtain a correction value, and judging the license authorization condition of the sponsor according to the threshold comparison result of the safety correction value and the preset safety evaluation threshold.
According to the embodiment of the invention, a plurality of archive data and a plurality of monitoring information of a license waiter within a preset range are obtained, and the method specifically comprises the following steps:
extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by the license applicant;
acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
generating an archive data signaling according to the mapping data information set;
acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
and screening out a plurality of pieces of monitoring information according to the professional attributes of the certificate sponsor.
It should be noted that, in order to obtain accurate data information of a license sponsor, a plurality of pieces of data are correspondingly extracted in an archive according to a data extraction range set by the license type, the plurality of pieces of data are corresponding capture pieces of data divided according to the license type in the archive, a mapping data information set is obtained according to the plurality of pieces of data to generate an archive data signaling, a data mapping mode is preset according to the license type, a monitoring information set is obtained in a third-party monitoring information platform according to the archive data signaling, the obtained monitoring information set comprises a plurality of monitoring information aggregated by a plurality of channels and has universality and overlapping performance, the monitoring information set is screened according to the professional attribute of the sponsor to obtain a plurality of pieces of targeted monitoring information, and the accuracy and pertinence of collecting the data information can be improved by collecting and screening.
According to the embodiment of the present invention, the extracting of the feature data according to the archive data and the obtaining of the relevant search information of the feature data and the corresponding information publishing source specifically include:
carrying out data classification according to the archive data and extracting attribute information data;
the attribute information data comprises occupational attribute data, confidentiality level data, safety influence data, transaction interest and tax data and intercourse activity data;
generating a file organization tree of the license sponsor according to the attribute information data;
extracting characteristic data according to the file organization tree and the type of the license application, wherein the characteristic data reflects attribute information corresponding to the license application person;
and searching and acquiring a data information chain and an information release source related to the information chain according to the characteristic data.
It should be noted that, in order to evaluate the relevant search information and information distribution source of the sponsor profile data, by classifying the archive data according to the types of application certificates and extracting attribute information data comprising occupational attribute data, confidentiality level data, safety influence data, transaction interest data and communication activity data, generating a file organization tree of the sponsor according to the attribute information data, wherein the file organization tree can reflect the complete picture of the data information situation corresponding to the license type of the sponsor through branches and trunks, and then extracting corresponding characteristic data, searching according to the characteristic data to obtain a data information chain and an associated information publishing source, and obtaining data information of the sponsor and an information chain source according to the license type in a targeted manner through generation of the file organization tree and extraction of the characteristic data, so that the sponsor can be further effectively evaluated.
According to the embodiment of the present invention, the word meaning analysis is performed according to each piece of search information issued by the information issuing source, alarm information is extracted, and alarm level division is performed on the alarm information in combination with the authorization level of the information issuing source, specifically:
establishing a word meaning analysis model;
training the word meaning analysis model according to sample data in the archive;
preprocessing according to the data information chain association search information to extract information publishing source attribute data and related information segments;
inputting the related information segment into the word meaning analysis model and outputting alarm information related to the search information;
obtaining an authorization level according to the information publishing source attribute data;
and correspondingly dividing the alarm level of the alarm information according to the authorization level.
The method includes the steps of establishing a semantic analysis model for further carrying out data information safety judgment according to a sponsor data information chain and associated search information, wherein the semantic analysis model is obtained by training according to sample data in a large number of archives, and the result is more accurate when the data volume is larger.
According to the embodiment of the present invention, the obtaining of the archival credit value and the security credit value according to the obtained plurality of alarm information and the plurality of monitoring information, and the obtaining of the security evaluation value of the license sponsor according to the archival credit value and the security credit value specifically include:
clustering according to the acquired alarm information and monitoring information;
according to m alarm information
Credit of
And corresponding authority levels
Aggregate to obtain archival credit values
；
According to n monitoring information
Credit of
And corresponding authority levels
Aggregating to obtain a secure credit value
；
According to the file credit value
And security credit value
Calculating to obtain a safety evaluation value
。
It should be noted that, in order to judge the security condition of multiple pieces of alarm information and monitoring information, the credit amounts of the alarm information and the monitoring information are respectively aggregated to obtain corresponding credit values, and then security evaluation values are further obtained, so that the security condition of the obtained information can be reflected, wherein the credit amounts are the quantity values which can reflect the security attribute of the information and are obtained from a third-party monitoring information platform, and the file credit values are the quantity values
Secure credit value
And judging the safety degree of the license sponsor for submitting the license according to the safety evaluation value Q.
According to the embodiment of the present invention, the calculating the degree of fitting of the behavior according to the alarm information and the monitoring information to obtain the behavior fitting data specifically includes:
acquiring information data vectors of the alarm information and the monitoring information;
calculating a behavior distance relation of the information data vector to obtain behavior fitting data;
wherein the alarm information data vector is expressed as
The monitoring information data vector is expressed as
；
The behavior fitting data
。
It should be noted that, in order to obtain the relationship between information, the relationship between information data is obtained by replacing information with information data vectors and calculating the distance relationship between the vectors, and in this scheme, behavior fitting data is obtained by calculation as the relationship between alarm information and monitoring information.
According to the embodiment of the present invention, the correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value specifically includes:
the safety correction value is calculated by the formula:
wherein Q' is a safety correction value, Q is a safety evaluation value, P is behavior fitting data, e is a maximum alarm level,
in order to apply for the factor of the safety influence of the person,
a privacy level coefficient for the sponsor.
It should be noted that, in order to improve the accuracy of the safety condition of the sponsor, the safety evaluation value is corrected through the behavior fitting data in combination with the attribute coefficient associated with the sponsor and the acquired alarm level, so that the accuracy of the safety correction value can be improved, finally, the license authorization condition of the license sponsor is judged through comparison between the safety correction value and a preset safety evaluation threshold value, and the safety influence coefficient and the confidentiality level coefficient are acquired according to a third-party platform of the archive.
The third aspect of the invention provides a readable storage medium, wherein the readable storage medium comprises a license handling method program based on big data archive identification, and when the license handling method program based on big data archive identification is executed by a processor, the steps of the license handling method based on big data archive identification are realized.
The invention discloses a license handling method, a system and a medium based on big data file identification, which are characterized in that a license sponsor obtains a plurality of file data and a plurality of pieces of monitoring information within a preset range, characteristic data are extracted according to the file data, relevant search information of the characteristic data and a corresponding information publishing source are obtained, lexical meaning analysis is carried out according to each piece of search information published by the information publishing source, alarm information is classified according to the authorization level of the information publishing source, a file credit value and a security credit value are respectively obtained according to the obtained plurality of alarm information and the plurality of pieces of monitoring information, a security evaluation value of the license sponsor is obtained according to the file credit value and the security credit value, behavior fitting data is calculated according to the alarm information and the monitoring information, the security evaluation value is corrected according to the behavior fitting data to obtain a security correction value, comparing the security correction value with the security evaluation threshold value to judge the license authorization condition of the license applicant; therefore, the license applicant information is processed and evaluated based on the big data file, the authorization judgment technology for obtaining the security correction value by processing the applicant alarm information and the monitoring information is realized, and the accurate identification degree of the license applicant security evaluation is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Claims (10)
1. The license handling method based on big data archive identification is characterized by comprising the following steps:
acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information release source;
performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
acquiring a security evaluation value of the certificate sponsor according to the file credit value and the security credit value;
performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data;
correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
2. The license transaction method based on big data archive identification according to claim 1, wherein obtaining a plurality of archive data and a plurality of monitoring information of license candidates within a preset range includes:
extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by the license applicant;
acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
generating an archive data signaling according to the mapping data information set;
acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
and screening out a plurality of pieces of monitoring information according to the professional attributes of the certificate sponsor.
3. The license transaction method based on big data archive identification as claimed in claim 2, wherein the extracting feature data according to the archive data and obtaining relevant search information of the feature data and corresponding information publishing source comprises:
carrying out data classification according to the archive data and extracting attribute information data;
the attribute information data comprises occupational attribute data, confidentiality level data, safety influence data, transaction interest and tax data and intercourse activity data;
generating a file organization tree of the license sponsor according to the attribute information data;
extracting characteristic data according to the file organization tree and the type of the license application, wherein the characteristic data reflects attribute information corresponding to the license application person;
and searching and acquiring a data information chain and an information release source related to the information chain according to the characteristic data.
4. The license handling method based on big data archive identification according to claim 3, wherein performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information in combination with the authorization level of the information issuing source comprises:
establishing a word meaning analysis model;
training the word meaning analysis model according to sample data in the archive;
preprocessing according to the data information chain association search information to extract information publishing source attribute data and related information segments;
inputting the related information segment into the word meaning analysis model and outputting alarm information related to the search information;
obtaining an authorization level according to the information publishing source attribute data;
and correspondingly dividing the alarm level of the alarm information according to the authorization level.
5. A license transaction method based on big data archive identification as claimed in claim 4, wherein the obtaining of the archive credit value and the security credit value according to the obtained plurality of alarm information and the plurality of monitoring information, respectively, and the obtaining of the security evaluation value of the license applicant according to the archive credit value and the security credit value comprise:
clustering according to the acquired alarm information and monitoring information;
according to m alarm information
Credit of
And corresponding authority levels
Aggregate to obtain archival credit values
；
According to n monitoring information
Credit of
And corresponding authority levels
Aggregating to obtain a secure credit value
；
According to the file credit value
And security credit value
Calculating to obtain a safety evaluation value
。
6. The license transaction method based on big data archive identification according to claim 5, wherein the performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data comprises:
acquiring information data vectors of the alarm information and the monitoring information;
calculating a behavior distance relation of the information data vector to obtain behavior fitting data;
wherein the alarm information data vector is expressed as
The monitoring information data vector is expressed as
；
The behavior fitting data
。
7. A license transaction method based on big data archive identification according to claim 6, wherein the correcting the security evaluation value according to the behavior fitting data to obtain a security correction value comprises:
the safety correction value is calculated by the formula:
wherein Q' is a safety correction value, Q is a safety evaluation value, P is behavior fitting data, e is a maximum alarm level,
in order to apply for the factor of the safety influence of the person,
a privacy level coefficient for the sponsor.
8. License handling system based on big data archive discernment, its characterized in that, this system includes: the storage comprises a program of a license handling method based on big data archive identification, and the program of the license handling method based on big data archive identification realizes the following steps when being executed by the processor:
acquiring a plurality of file data and a plurality of monitoring information of a license sponsor within a preset range;
extracting characteristic data according to the archive data and acquiring related search information of the characteristic data and a corresponding information release source;
performing word meaning analysis and extracting alarm information according to each piece of search information issued by the information issuing source, and performing alarm level division on the alarm information by combining the authorization level of the information issuing source;
respectively acquiring a file credit value and a security credit value according to the acquired plurality of alarm information and the plurality of monitoring information;
acquiring a security evaluation value of the certificate sponsor according to the file credit value and the security credit value;
performing behavior fitting degree calculation according to the alarm information and the monitoring information to obtain behavior fitting data;
correcting the safety evaluation value according to the behavior fitting data to obtain a safety correction value;
and comparing the safety correction value with a safety evaluation threshold value, and judging the license authorization condition of the license applicant.
9. A license handling system based on big data archive identification as claimed in claim 8, wherein obtaining a plurality of archive data and a plurality of monitoring information of license to-be-handled persons within a preset range comprises:
extracting a plurality of corresponding pieces of data from an archive according to the type of the license applied by the license applicant;
acquiring a mapping data information set in a preset range according to a plurality of pieces of data;
generating an archive data signaling according to the mapping data information set;
acquiring a monitoring information set in a monitoring information platform according to the archive data signaling;
and screening out a plurality of pieces of monitoring information according to the professional attributes of the certificate sponsor.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a big data archive identification-based license handling method program, and when the big data archive identification-based license handling method program is executed by a processor, the steps of the big data archive identification-based license handling method according to any one of claims 1 to 7 are implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210702605.XA CN114817518B (en) | 2022-06-21 | 2022-06-21 | License handling method, system and medium based on big data archive identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210702605.XA CN114817518B (en) | 2022-06-21 | 2022-06-21 | License handling method, system and medium based on big data archive identification |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114817518A true CN114817518A (en) | 2022-07-29 |
| CN114817518B CN114817518B (en) | 2022-09-20 |
Family
ID=82521656
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210702605.XA Active CN114817518B (en) | 2022-06-21 | 2022-06-21 | License handling method, system and medium based on big data archive identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114817518B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116366374A (en) * | 2023-06-01 | 2023-06-30 | 广东力昂电子科技有限公司 | Security assessment method, system and medium for power grid network management based on big data |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100106586A1 (en) * | 2007-04-17 | 2010-04-29 | American Express Travel Related Services Company, Inc. | System and method for determining positive consumer behavior based upon structural risk |
| CN110097248A (en) * | 2019-03-19 | 2019-08-06 | 深圳壹账通智能科技有限公司 | Trade company's ranking method, device, equipment and storage medium based on stream cube technology |
| CN112988820A (en) * | 2019-12-16 | 2021-06-18 | 航天信息股份有限公司 | Service processing method and device |
| WO2021189856A1 (en) * | 2020-09-24 | 2021-09-30 | 平安科技（深圳）有限公司 | Certificate check method and apparatus, and electronic device and medium |
| CN113792836A (en) * | 2021-11-15 | 2021-12-14 | 聊城中赛电子科技有限公司 | Multi-level safety intelligent park control method and system |
| CN114265975A (en) * | 2021-12-10 | 2022-04-01 | 中国联合网络通信集团有限公司 | Pass generation method, device, equipment, system and storage medium |
| CN114297448A (en) * | 2022-03-09 | 2022-04-08 | 广州卓腾科技有限公司 | License applying method, system and medium based on intelligent epidemic prevention big data identification |
| WO2022099909A1 (en) * | 2020-11-13 | 2022-05-19 | 南威软件股份有限公司 | Application method for delegating electronic certificate among multiple roles |
-
2022
- 2022-06-21 CN CN202210702605.XA patent/CN114817518B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100106586A1 (en) * | 2007-04-17 | 2010-04-29 | American Express Travel Related Services Company, Inc. | System and method for determining positive consumer behavior based upon structural risk |
| CN110097248A (en) * | 2019-03-19 | 2019-08-06 | 深圳壹账通智能科技有限公司 | Trade company's ranking method, device, equipment and storage medium based on stream cube technology |
| CN112988820A (en) * | 2019-12-16 | 2021-06-18 | 航天信息股份有限公司 | Service processing method and device |
| WO2021189856A1 (en) * | 2020-09-24 | 2021-09-30 | 平安科技（深圳）有限公司 | Certificate check method and apparatus, and electronic device and medium |
| WO2022099909A1 (en) * | 2020-11-13 | 2022-05-19 | 南威软件股份有限公司 | Application method for delegating electronic certificate among multiple roles |
| CN113792836A (en) * | 2021-11-15 | 2021-12-14 | 聊城中赛电子科技有限公司 | Multi-level safety intelligent park control method and system |
| CN114265975A (en) * | 2021-12-10 | 2022-04-01 | 中国联合网络通信集团有限公司 | Pass generation method, device, equipment, system and storage medium |
| CN114297448A (en) * | 2022-03-09 | 2022-04-08 | 广州卓腾科技有限公司 | License applying method, system and medium based on intelligent epidemic prevention big data identification |
Non-Patent Citations (1)
| Title |
|---|
| 兰博: "公安部门对公民因私出入境证件骗领行为的管理问题与对策研究——以西安市公安出入境为例", 《中国优秀硕士学位论文全文数据库社会科学Ⅰ辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116366374A (en) * | 2023-06-01 | 2023-06-30 | 广东力昂电子科技有限公司 | Security assessment method, system and medium for power grid network management based on big data |
| CN116366374B (en) * | 2023-06-01 | 2023-12-15 | 广东力昂电子科技有限公司 | Security assessment method, system and medium for power grid network management based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114817518B (en) | 2022-09-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106384273B (en) | Malicious bill-swiping detection system and method | |
| CN109885597B (en) | User grouping processing method and device based on machine learning and electronic terminal | |
| CN103064987A (en) | Bogus transaction information identification method | |
| CN114297448B (en) | License applying method, system and medium based on intelligent epidemic prevention big data identification | |
| CN112328936A (en) | Website identification method, device and equipment and computer readable storage medium | |
| CN113553583A (en) | Information system asset security risk assessment method and device | |
| CN114817518B (en) | License handling method, system and medium based on big data archive identification | |
| CN112258254A (en) | Internet advertisement risk monitoring method and system based on big data architecture | |
| CN112507176A (en) | Automatic determination method and device for domain name infringement, electronic equipment and storage medium | |
| CN110533094B (en) | Evaluation method and system for driver | |
| CN115222303A (en) | Industry risk data analysis method and system based on big data and storage medium | |
| CN115098440A (en) | Electronic archive query method, device, storage medium and equipment | |
| CN114692593A (en) | Network information safety monitoring and early warning method | |
| CN109242658B (en) | Suspicious transaction report generation method, suspicious transaction report generation system, suspicious transaction report generation computer device and suspicious transaction report storage medium | |
| CN109409091B (en) | Method, device and equipment for detecting Web page and computer storage medium | |
| CN110728585A (en) | Authority guaranteeing method, device, equipment and storage medium | |
| CN116401343A (en) | Data compliance analysis method | |
| CN111428041A (en) | Case abstract generation method, device, system and storage medium | |
| CN114595765A (en) | Data processing method and device, electronic equipment and storage medium | |
| CN113239126A (en) | Business activity information standardization scheme based on BOR method | |
| CN113836365A (en) | Identification and early warning method for abnormal behavior website | |
| CN117112846B (en) | Multi-information source license information management method, system and medium | |
| CN113362151B (en) | Data processing method and device for financial business, electronic equipment and storage medium | |
| CN113723522B (en) | Abnormal user identification method and device, electronic equipment and storage medium | |
| CN112948646B (en) | Data identification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |