CN110363648B - Multi-dimensional attribute verification method and device based on same geographic type and electronic equipment - Google Patents

Multi-dimensional attribute verification method and device based on same geographic type and electronic equipment Download PDF

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CN110363648B
CN110363648B CN201910541814.9A CN201910541814A CN110363648B CN 110363648 B CN110363648 B CN 110363648B CN 201910541814 A CN201910541814 A CN 201910541814A CN 110363648 B CN110363648 B CN 110363648B
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same
user
application users
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CN110363648A (en
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程锋
苏绥绥
常富洋
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Beijing Qiyu Information Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a multidimensional attribute verification method and device based on the same geographic type, which are used for executing a refusing strategy by acquiring a plurality of geographic attribute data of application users in the same time period, mutually verifying the geographic attribute data of the application users, calculating the number of application users belonging to the same or similar geographic positions, judging whether the number of application users belonging to the same or similar geographic positions is higher than a preset threshold value or not and executing the refusing strategy. The invention obtains more accurate user application quantity from the verification results of a plurality of geographic attribute data of the application users in the same time period, thereby preventing possible fraudulent behaviors of the application users.

Description

Multi-dimensional attribute verification method and device based on same geographic type and electronic equipment
Technical Field
The invention relates to the field of computer information processing, in particular to a method, a device, electronic equipment and a computer readable medium for checking multidimensional attribute based on the same geographic type.
Background
At present, when a plurality of users apply for credit, counterfeit materials exist or the number of users in the same area can be increased suddenly. In the past, the method is based on single-dimension fraud risk prediction, and the invention provides a multi-dimension attribute verification method based on the same geographic type to realize fraud prevention.
Disclosure of Invention
In view of the foregoing, the present specification is directed to providing a method and apparatus for verifying multidimensional attribute based on the same geographic type, which overcomes or at least partially solves the foregoing problems.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
In a first aspect, the present invention provides a method for checking multidimensional attribute based on the same geographic type, including:
acquiring a plurality of geographic attribute data of an application user in the same time period;
checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic positions;
and judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value, and executing a rejection strategy.
In an exemplary embodiment of the present disclosure, the acquiring a plurality of geographic attribute data of the applying user in the same period includes:
and acquiring LBS geographic position, IP address, WIFI information and/or base station information of the application user in the same period.
In an exemplary embodiment of the present disclosure, the verifying the geographic attribute data of the application users with each other, calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users with preset distances in the same period according to the LBS geographic positions of the application users.
In an exemplary embodiment of the present disclosure, the verifying the geographic attribute data of the application users with each other, calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same IP address of the same time period or the same network segment according to the IP address of the application user.
In an exemplary embodiment of the present disclosure, the verifying the geographic attribute data of the application users with each other, calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same WIFI in the same period according to the WIFI information of the application users.
In an exemplary embodiment of the present disclosure, the verifying the geographic attribute data of the application users with each other, calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same WIFI in the same period according to the WIFI information of the application users.
In an exemplary embodiment of the present disclosure, the checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations specifically includes:
and checking the LBS geographic position, the IP address, the WIFI information and/or the base station information of the application users, and calculating the number of the application users belonging to the same or similar geographic positions.
In an exemplary embodiment of the present disclosure, the counting the number of the application users of the same period of time preset distance according to the LBS geographical location of the application user further includes:
obtaining population density of places where the applying users are located according to the LBS geographic positions of the applying users;
and determining a preset distance according to the population density of the place where the application user is located.
In an exemplary embodiment of the disclosure, the determining whether the number of the application users belonging to the same or similar geographic locations is higher than a preset threshold value, and executing the rejection policy further includes:
setting a user application quantity threshold;
and judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value, and executing a rejection strategy.
In an exemplary embodiment of the present disclosure, obtaining the usual location information of the applying user;
setting an application ground distance threshold;
comparing the liveness of the application user with the LBS geographic position of the application user, and if the distance between the liveness of the application user and the LBS geographic position of the application user is larger than the application ground distance threshold value, the behavior of the application user is abnormal, and then rule definition is carried out on the application user.
In a second aspect, the present invention provides an apparatus for a method for multidimensional attribute verification based on the same geographic type, including:
the acquisition unit is used for acquiring a plurality of geographic attribute data of the application user in the same period;
the computing unit is used for mutually checking the geographic attribute data of the application users and computing the number of the application users belonging to the same or similar geographic positions;
and the execution unit is used for judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value or not, and executing a rejection strategy.
In an exemplary embodiment of the present disclosure, the acquisition unit further includes:
the geographic attribute data acquisition unit is used for acquiring LBS geographic position, IP address, WIFI information and/or base station information of the application user in the same time period.
In an exemplary embodiment of the present disclosure, the computing unit further includes:
and the LBS user quantity counting unit is used for counting the quantity of the application users with the preset distance in the same period according to the LBS geographic position of the application user.
In an exemplary embodiment of the present disclosure, the computing unit further includes:
and the IP address user quantity counting unit is used for counting the quantity of the application users under the IP addresses of the same time period or the same network segment according to the IP addresses of the application users.
In an exemplary embodiment of the present disclosure, the computing unit further includes:
and the WIFI user quantity counting unit is used for counting the quantity of the application users under the same WIFI in the same period according to the WIFI information of the application users.
In an exemplary embodiment of the present disclosure, the computing unit further includes:
and the base station user quantity counting unit is used for counting the quantity of the application users under the same WIFI in the same period according to the WIFI information of the application users.
In an exemplary embodiment of the present disclosure, the computing unit is specifically:
and checking the LBS geographic position, the IP address, the WIFI information and/or the base station information of the application users, and calculating the number of the application users belonging to the same or similar geographic positions.
In an exemplary embodiment of the present disclosure, the LBS user number statistics unit further includes:
the preset distance determining unit is used for obtaining population density of the places where the application users are located according to the LBS geographic positions of the application users;
and determining a preset distance according to the population density of the place where the application user is located.
In an exemplary embodiment of the present disclosure, the execution module further includes:
the user application amount threshold setting module is used for setting a user application amount threshold;
and the judging module is used for judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value or not, and executing a rejection strategy.
In an exemplary embodiment of the present disclosure, a lively information acquisition module is configured to acquire lively information of the applying user;
the application ground threshold setting module is used for setting an application ground distance threshold;
and the rule limiting module is used for comparing the lived ground of the application user with the LBS geographic position of the application user, and if the distance between the lived ground of the application user and the LBS geographic position of the application user is larger than the applied ground distance threshold value, the behavior of the application user is abnormal, and rule limiting is carried out on the application user.
In a third aspect, the present specification provides a server comprising a processor and a memory: the memory is used for storing a program of the method of any one of the above; the processor is configured to execute the program stored in the memory to implement the steps of the method of any one of the preceding claims.
In a fourth aspect, embodiments of the present description provide a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the steps of any of the methods described above.
According to the method, the device, the electronic equipment and the computer readable medium based on the same geographic type multi-dimensional attribute verification, the application user multiple geographic attribute data in the same time period are obtained, the application user multiple geographic attribute data are verified mutually, the number of application users belonging to the same or similar geographic positions is calculated, whether the number of application users belonging to the same or similar geographic positions is higher than a preset threshold value is judged, a rejection strategy is executed, and finally fraud prevention is achieved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects achieved more clear, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted, however, that the drawings described below are merely illustrative of exemplary embodiments of the present invention and that other embodiments of the present invention may be derived from these drawings by those skilled in the art without undue effort.
FIG. 1 is a flow diagram illustrating a method for verifying multidimensional attribute based on the same geographic type, in accordance with an exemplary embodiment.
FIG. 2 is a block diagram illustrating an apparatus based on the same geographic type multidimensional attribute verification method in accordance with another exemplary embodiment.
Fig. 3 is a block diagram of a server, according to an example embodiment.
Fig. 4 is a block diagram of a computer-readable medium shown according to an example embodiment.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus a repetitive description thereof will be omitted.
The features, structures, characteristics or other details described in a particular embodiment do not exclude that may be combined in one or more other embodiments in a suitable manner, without departing from the technical idea of the invention.
In the description of specific embodiments, features, structures, characteristics, or other details described in the present invention are provided to enable one skilled in the art to fully understand the embodiments. However, it is not excluded that one skilled in the art may practice the present invention without one or more of the specific features, structures, characteristics, or other details.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or portions, this should not be limited by these terms. These words are used to distinguish one from the other. For example, a first device may also be referred to as a second device without departing from the spirit of the invention.
The term "and/or" and/or "includes all combinations of any of the associated listed items and one or more.
Those skilled in the art will appreciate that the drawings are schematic representations of example embodiments and that the modules or flows in the drawings are not necessarily required to practice the present disclosure, and therefore, should not be taken to limit the scope of the present disclosure.
The technical scheme of the invention is described and illustrated in detail below through a few specific embodiments.
Referring to fig. 1, a multi-dimension attribute verification method based on the same geographic type includes:
s101: and acquiring a plurality of geographic attribute data of the application user in the same time period.
The obtaining the multiple geographic attribute data of the application user in the same time period includes:
and acquiring LBS geographic position, IP address, WIFI information and/or base station information of the application user in the same period.
The method further comprises the step of obtaining the usual ground information of the application user;
setting an application ground distance threshold;
comparing the liveness of the application user with the LBS geographic position of the application user, and if the distance between the liveness of the application user and the LBS geographic position of the application user is larger than the application ground distance threshold value, the behavior of the application user is abnormal, and then rule definition is carried out on the application user.
Specifically, the LBS geographic location, the IP address, the WIFI information, and the base station information of the applying user in the same period are obtained. And then, the usual location information of the application user can be acquired at the same time. Setting an application distance threshold value, if the application distance is larger than the set application distance compared with the Location Based Service (LBS) geographic position of the application user, and the application behavior of the user can be considered to be abnormal if the application is not applied to the application user in the usual location, and the rule definition can be carried out on the user implementing the abnormal behavior. The abnormal behavior of the user can be that the user account is stolen or the user account is forged or can be the operation behavior of the user.
S102: the checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users with preset distances in the same period according to the LBS geographic positions of the application users.
The counting of the number of the application users with the preset distance in the same period according to the LBS geographic position of the application user further comprises:
obtaining population density of places where the applying users are located according to the LBS geographic positions of the applying users;
and determining a preset distance according to the population density of the place where the application user is located.
The checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same IP address of the same time period or the same network segment according to the IP address of the application user.
The checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same WIFI in the same period according to the WIFI information of the application users.
The checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further includes:
and counting the number of the application users under the same WIFI in the same period according to the WIFI information of the application users.
And mutually checking the geographic attribute data of the application users, wherein the calculation of the number of the application users belonging to the same or similar geographic positions is specifically as follows:
and checking the LBS geographic position, the IP address, the WIFI information and/or the base station information of the application users, and calculating the number of the application users belonging to the same or similar geographic positions.
Specifically, because the LBS geographic location, the IP address, the WIFI information and the base station information of the applying user can be forged, but cannot be forged at the same time, the information belongs to the dimension attribute of the same geographic type, and mutual verification can be realized. And the number of the application users can be accurately obtained through mutual verification of the information.
S103: and judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value, and executing a rejection strategy.
The step of judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value, and the step of executing the rejection strategy further comprises:
setting a user application quantity threshold;
and judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value, and executing a rejection strategy.
Specifically, a user application amount threshold is set, whether the number of application users belonging to the same or similar geographic locations is higher than a preset threshold is judged, if so, it is indicated that the number of application users is abnormal in the time period, and then a rejection strategy is executed.
For example, some users may forge the application materials or call a lot of people to apply for registration, so the method of the invention is to obtain the LBS geographic position (longitude and latitude) of the application users, then make a grid with 100 meters, and count how many users apply for the time; similarly, the user application amount under the IP address of the same network segment or the same network segment is also counted; similarly, the number of user applications under the same WIFI is also counted; similarly, the number of user applications under the same base station is also counted. Thus if there is a sudden number of bursts, such as more than 100 persons in any of the dimensions described above in a short period of time, then a rejection strategy is performed. In addition, since these dimensions alone are all falsified, the dimensions are used to verify each other, eliminating falsification. Meanwhile, the distance setting in LBS can be defined differently according to different geographic positions, and in cities with high population density, the set distance can be wider and can be 100 meters, 10KM and 20KM. Further, if the user is applying 360 for credit line of the debit card, according to our general understanding that the user should be in a constant location (such as a company, a home), if the LBS geographical location at the time of re-application of the user exceeds a certain threshold (such as 10 km) compared with the constant location list, the user is problematic (such as the operation is not the user himself or the user account is stolen, the user is counterfeited with an identification card, etc.), the behavior is abnormal, and rules may be made to limit such user, i.e. anti-fraud, for such possible fraudulent behavior.
Those skilled in the art will appreciate that all or part of the steps implementing the above-described embodiments are implemented as a program (computer program) executed by a computer data processing apparatus. The above-described method provided by the present invention can be implemented when the computer program is executed. Moreover, the computer program may be stored in a computer readable storage medium, which may be a readable storage medium such as a magnetic disk, an optical disk, a ROM, a RAM, or a storage array composed of a plurality of storage media, for example, a magnetic disk or a tape storage array. The storage medium is not limited to a centralized storage, but may be a distributed storage, such as cloud storage based on cloud computing.
The following describes apparatus embodiments of the invention that may be used to perform method embodiments of the invention. Details described in the embodiments of the device according to the invention should be regarded as additions to the embodiments of the method described above; for details not disclosed in the embodiments of the device according to the invention, reference may be made to the above-described method embodiments.
Referring to fig. 2, an apparatus for a method based on multi-dimensional attribute verification of the same geographic type includes:
an obtaining unit 201, configured to obtain a plurality of geographic attribute data of the applicant user in the same period.
The acquisition unit further includes:
the geographic attribute data acquisition unit is used for acquiring LBS geographic position, IP address, WIFI information and/or base station information of the application user in the same time period.
The usual ground information acquisition module is used for acquiring usual ground information of the application user;
the application ground threshold setting module is used for setting an application ground distance threshold;
and the rule limiting module is used for comparing the lived ground of the application user with the LBS geographic position of the application user, and if the distance between the lived ground of the application user and the LBS geographic position of the application user is larger than the applied ground distance threshold value, the behavior of the application user is abnormal, and rule limiting is carried out on the application user.
Specifically, the geographic attribute data acquisition unit acquires the LBS geographic position, the IP address, the WIFI information and the base station information of the applying user in the same period. And then, the module for acquiring the usual ground information can acquire the usual ground information of the application user. The application threshold setting module is used for setting application distance threshold. And then the rule limiting module compares the usual location of the applying user with the LBS geographic position of the applying user, if the comparison result is larger than the set applying distance, the user can be considered to be abnormal in applying for the action if the user does not apply for the usual location, and the rule limiting module can limit the rule of the user for implementing the abnormal action. The abnormal behavior of the user can be that the user account is stolen or the user account is forged or can be the operation behavior of the user.
The calculating unit 202 is configured to check the geographic attribute data of the application users with each other, and calculate the number of application users belonging to the same or similar geographic locations.
The computing unit further includes:
and the LBS user quantity counting unit is used for counting the quantity of the application users with the preset distance in the same period according to the LBS geographic position of the application user.
The LBS user number statistics unit further includes:
the preset distance determining unit is used for obtaining population density of the places where the application users are located according to the LBS geographic positions of the application users;
and determining a preset distance according to the population density of the place where the application user is located.
The computing unit further includes:
and the IP address user quantity counting unit is used for counting the quantity of the application users under the IP addresses of the same time period or the same network segment according to the IP addresses of the application users.
The computing unit further includes:
and the WIFI user quantity counting unit is used for counting the quantity of the application users under the same WIFI in the same period according to the WIFI information of the application users.
The computing unit further includes:
and the base station user quantity counting unit is used for counting the quantity of the application users under the same WIFI in the same period according to the WIFI information of the application users.
The calculation unit specifically comprises:
and checking the LBS geographic position, the IP address, the WIFI information and/or the base station information of the application users, and calculating the number of the application users belonging to the same or similar geographic positions.
Specifically, because the LBS geographic location, the IP address, the WIFI information and the base station information of the applying user can be forged, but cannot be forged at the same time, the information belongs to the dimension attribute of the same geographic type, and mutual verification can be realized. And the number of the application users can be accurately obtained through mutual verification of the information.
And the execution unit 203 is configured to determine whether the number of the application users belonging to the same or similar geographic locations is higher than a preset threshold, and execute a rejection policy.
The execution unit further includes:
the user application amount threshold setting module is used for setting a user application amount threshold;
and the judging module is used for judging whether the number of the application users belonging to the same or similar geographic positions is higher than a preset threshold value or not, and executing a rejection strategy.
Specifically, the user application amount threshold setting module is configured to set a user application amount threshold, and the judging module is configured to judge whether the number of application users belonging to the same or similar geographic locations is higher than a preset threshold, and if so, it is indicated that the number of application users is abnormal in the time period, and then execute the rejection policy.
It will be appreciated by those skilled in the art that the modules in the embodiments of the apparatus described above may be distributed in an apparatus as described, or may be distributed in one or more apparatuses different from the embodiments described above with corresponding changes. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
The following describes an embodiment of an electronic device according to the present invention, which may be regarded as a specific physical implementation of the above-described embodiment of the method and apparatus according to the present invention. Details described in relation to the embodiments of the electronic device of the present invention should be considered as additions to the embodiments of the method or apparatus described above; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or apparatus embodiments.
Fig. 3 is a block diagram of a server, according to an example embodiment.
A server 300 according to this embodiment of the present disclosure is described below with reference to fig. 3. The server 300 shown in fig. 3 is merely an example, and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in FIG. 3, the server 300 is in the form of a general purpose computing device. The components of server 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 connecting the different system components (including the memory unit 320 and the processing unit 310), a display unit 340, and the like.
Wherein the storage unit stores program code executable by the processing unit 310 such that the processing unit 310 performs steps according to various exemplary embodiments of the present disclosure described in the above-described electronic prescription flow processing methods section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The memory unit 320 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 3201 and/or cache memory 3202, and may further include Read Only Memory (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 330 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The server 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the server 300, and/or any device (e.g., router, modem, etc.) that enables the server 300 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 350. Also, the server 300 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet via the network adapter 360. Network adapter 360 may communicate with other modules of server 300 via bus 330. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with server 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, or a network device, etc.) to perform the above-described method according to the embodiments of the present disclosure.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The computer-readable medium carries one or more programs, which when executed by one of the devices, cause the computer-readable medium to perform the functions of: a multidimensional attribute verification method based on the same geographic type comprises the steps of obtaining a plurality of geographic attribute data of application users in the same time period, mutually verifying the geographic attribute data of the application users, calculating the number of application users belonging to the same or similar geographic positions, judging whether the number of application users belonging to the same or similar geographic positions is higher than a preset threshold value, and executing a rejection strategy.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that this disclosure is not limited to the particular arrangements, instrumentalities and methods of implementation described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
In addition, the structures, proportions, sizes, etc. shown in the drawings in the specification are used for the understanding and reading of the disclosure, and are not intended to limit the applicable limitations of the disclosure, so that any structural modification, change in proportion, or adjustment of size is not technically significant, and yet falls within the scope of the disclosure without affecting the technical effects and the objects that can be achieved by the disclosure. Meanwhile, the terms such as "upper", "first", "second", and "a" and the like recited in the present specification are also for convenience of description only, and are not intended to limit the scope of the disclosure, in which the relative relationship changes or modifications thereof are not limited to essential changes in technical content, but are also regarded as the scope of the disclosure.

Claims (8)

1. A multidimensional attribute verification method based on the same geographic type comprises the following steps:
acquiring a plurality of geographic attribute data of an application user in the same time period;
checking the geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic positions, wherein the method comprises the following steps: counting the number of the application users with preset distances in the same period according to the LBS geographic positions of the application users, and obtaining population density of places where the application users are located according to the LBS geographic positions of the application users; determining a preset distance according to population density of the place where the application user is located;
presetting a user application quantity threshold, judging whether the quantity of the application users belonging to the same or similar geographic positions is higher than the preset threshold, and executing a rejection strategy;
obtaining the usual location information of the application user; setting an application ground distance threshold; comparing the liveness of the application user with the LBS geographic position of the application user, and if the distance between the liveness of the application user and the LBS geographic position of the application user is larger than the application ground distance threshold value, the behavior of the application user is abnormal, and then rule definition is carried out on the application user.
2. The method of claim 1, wherein the obtaining the plurality of geographic attribute data of the applicant user for the same period of time comprises:
and acquiring the LBS geographic position, the IP address, the WIFI information and the base station information of the application user in the same period.
3. The method of claim 2, wherein the verifying the plurality of geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further comprises:
and counting the number of the application users under the same IP address of the same time period or the same network segment according to the IP address of the application user.
4. The method of claim 2, wherein the verifying the plurality of geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further comprises:
and counting the number of the application users under the same WIFI in the same period according to the WIFI information of the application users.
5. The method of claim 2, wherein the verifying the plurality of geographic attribute data of the application users with each other, and calculating the number of application users belonging to the same or similar geographic locations further comprises:
and checking the LBS geographic position, the IP address, the WIFI information and the base station information of the application users, and calculating the number of the application users belonging to the same or similar geographic positions.
6. An apparatus for a method for verifying multidimensional attribute based on the same geographic type, comprising:
the acquisition unit is used for acquiring a plurality of geographic attribute data of the application user in the same period;
the calculating unit is configured to perform mutual verification on the multiple geographic attribute data of the application users, and calculate the number of application users belonging to the same or similar geographic locations, where the calculating unit includes: counting the number of the application users with preset distances in the same period according to the LBS geographic positions of the application users, and obtaining population density of places where the application users are located according to the LBS geographic positions of the application users; determining a preset distance according to population density of the place where the application user is located;
the execution unit is used for presetting a user application amount threshold value, judging whether the number of application users belonging to the same or similar geographic positions is higher than the preset threshold value, and executing a rejection strategy;
the usual ground information acquisition module is used for acquiring usual ground information of the application user;
the application ground threshold setting module is used for setting an application ground distance threshold;
and the rule limiting module is used for comparing the lived ground of the application user with the LBS geographic position of the application user, and if the distance between the lived ground of the application user and the LBS geographic position of the application user is larger than the applied ground distance threshold value, the behavior of the application user is abnormal, and rule limiting is carried out on the application user.
7. An electronic device includes a processor; and a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of claims 1-5.
8. A computer-readable storage medium, comprising: the computer readable storage medium storing one or more programs, which when executed by a processor, implement the method of any of claims 1-5.
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