CN116347451A - Old people-oriented fraud early warning method and device - Google Patents
Old people-oriented fraud early warning method and device Download PDFInfo
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- CN116347451A CN116347451A CN202310633462.6A CN202310633462A CN116347451A CN 116347451 A CN116347451 A CN 116347451A CN 202310633462 A CN202310633462 A CN 202310633462A CN 116347451 A CN116347451 A CN 116347451A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
- H04W12/67—Risk-dependent, e.g. selecting a security level depending on risk profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/12—Detection or prevention of fraud
- H04W12/128—Anti-malware arrangements, e.g. protection against SMS fraud or mobile malware
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
Abstract
The invention discloses a fraud early warning method and device for the elderly, and relates to the technical field of computers. The method comprises the following steps: determining a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area; identifying whether the target user is living with his son or daughter based on the home registration data of the target user; calculating the living risk score of the target user according to the identification result; calculating the browsing risk score of the target user based on the signaling data of the target user and the internet surfing behavior data; based on the short message data, calculating the short message risk score of the target user; calculating fraud risk scores of the target user based on the age risk scores, the living risk scores, the browsing risk scores and the short message risk scores; and when the fraud risk score is larger than a preset risk threshold, sending alarm information to the target user. The embodiment can identify some potential fraud risks and timely send alarm information to the old people.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a fraud early warning method and device for old people.
Background
With the popularization of smart phones, fraud for the elderly is layered endlessly. How to timely early warn the old and avoid loss caused by fraud is a current urgent problem to be solved.
The prior method generally identifies the incoming call number, and informs the old through a short message or a telephone when the incoming call number is identified to belong to a fraud telephone.
However, the method has a single way of identifying the fraud, so that some potential fraud risks cannot be identified, warning information cannot be sent to the old in time, and further funds of the old are lost.
Disclosure of Invention
Therefore, the embodiment of the invention provides a fraud early warning method and device for the aged, which can identify some potential fraud risks and send alarm information to the aged in time.
In a first aspect, an embodiment of the present invention provides a fraud early warning method for elderly people, including:
determining a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area;
identifying whether the target user is living with his son or daughter based on the home registration data of the target user;
calculating the living risk score of the target user according to the identification result;
acquiring Internet surfing behavior data and short message data of the target user based on the signaling data of the target user;
calculating the browsing risk score of the target user based on the internet surfing behavior data;
based on the short message data, calculating a short message risk score of the target user;
calculating a fraud risk score for the target user based on the age risk score, the occupancy risk score, the browsing risk score, and the text message risk score;
when the fraud risk score is larger than a preset risk threshold, sending alarm information to the target user;
the age risk score measures the risk degree of the target user facing fraud from the angle of age; the living risk score measures the risk degree of the target user facing fraud from the perspective of whether the target user lives with children or not; the browsing risk score is used for measuring the risk degree of the target user facing fraud from the internet browsing content angle; and the short message risk score measures the risk degree of the target user facing fraud from the short message content angle.
In a second aspect, an embodiment of the present invention provides a fraud early warning device for old people, including:
the age risk identification module is configured to determine a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area;
a living risk identification module configured to identify whether the target user is living with his son or daughter based on the home registration data of the target user; calculating the living risk score of the target user according to the identification result;
the content risk identification module is configured to acquire Internet surfing behavior data and short message data of the target user based on signaling data of the target user; calculating the browsing risk score of the target user based on the internet surfing behavior data; based on the short message data, calculating a short message risk score of the target user;
a fraud risk identification module configured to calculate a fraud risk score for the target user based on the age risk score, the occupancy risk score, the browsing risk score, and the short message risk score;
the early warning module is configured to send warning information to the target user when the fraud risk score is larger than a preset risk threshold;
the age risk score measures the risk degree of the target user facing fraud from the angle of age; the living risk score measures the risk degree of the target user facing fraud from the perspective of whether the target user lives with children or not; the browsing risk score is used for measuring the risk degree of the target user facing fraud from the internet browsing content angle; and the short message risk score measures the risk degree of the target user facing fraud from the short message content angle.
One embodiment of the above invention has the following advantages or benefits: because the coverage rate of the mobile phone is higher, the old people in the target area can be accurately determined through the signaling data, and the coverage range of early warning is improved. The system can more comprehensively identify the fraud risk faced by the target user from four angles of age, living with children or not, surfing the internet for content and short message content, and timely alarm the old to prevent fund loss.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a flow chart of a fraud pre-warning method for elderly people provided by an embodiment of the present invention;
FIG. 2 is a flowchart of a fraud early warning method for elderly people according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of a fraud early warning device for elderly people according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
As shown in fig. 1, an embodiment of the present invention provides a fraud early warning method for old people, including:
step 101: and determining the target users belonging to the old people and the age risk scores of the target users based on the signaling data of the users in the target area.
The target area may be set according to service requirements, such as a cell, a city, etc. Based on the signaling data, the age of the user can be obtained from the registration information on the operator side, and the elderly over 60 years old can be determined. Considering that the older people are older, the probability of being fraudled increases, the embodiment of the invention measures the risk of frauds facing the target user from an age perspective based on the age risk score.
Step 102: based on the household data of the target user, whether the target user is living with his son or daughter is identified.
Based on the user's household data, the user's signaling data can be obtained, and then it is determined whether the target user is living with its child. In the actual application scene, the residence place can be obtained based on the household registration data, so that whether the target user is living with the child thereof is determined.
Step 103: and calculating the living risk score of the target user according to the identification result.
The living risk score measures the risk level of the target user being at fraud from the perspective of whether to live with the child.
Step 104: and acquiring Internet surfing behavior data and short message data of the target user based on the signaling data of the target user.
Step 105: and calculating the browsing risk score of the target user based on the internet surfing behavior data.
In order to prevent such risks, embodiments of the present invention are based on the internet surfing behavior data in the signaling data and analyze it, considering that the target user may access websites provided by fraudsters. Browsing risk score, the risk level of the target user facing fraud is measured from the point of view of browsing content online.
Step 106: and calculating the short message risk score of the target user based on the short message data.
Considering that fraud may be accompanied by money transfer operation or authorization operation, the invention analyzes the short message data in the signaling data, and can timely find fraud risk in the short message data. And (5) short message risk score, and measuring the risk degree of the target user facing fraud from the short message content angle.
Step 107: based on the age risk score, the living risk score, the browsing risk score, and the text message risk score, a fraud risk score for the target user is calculated.
In an actual application scene, the risk scores obtained in different dimensions can be added to obtain fraud risk scores, corresponding weights can be set for the different dimensions respectively, products of the risk scores in the different dimensions and the weights are calculated, and accumulation is carried out to obtain fraud risk scores.
Step 108: and when the fraud risk score is larger than a preset risk threshold, sending alarm information to the target user.
When the fraud risk score is greater than the preset risk threshold, it is indicated that the target user may suffer fraud, and therefore, the target user should be prompted by the alarm information in time. For example, the alert information may be provided to the target user in the form of a short message, a telephone, or the like. The risk threshold may be set manually based on actual business experience.
Because the coverage rate of the mobile phone is higher, the old people in the target area can be accurately determined through the signaling data, and the coverage range of early warning is improved. The system can more comprehensively identify the fraud risk faced by the target user from four angles of age, living with children or not, surfing the internet for content and short message content, and timely alarm the old to prevent fund loss.
In one embodiment of the present invention, determining a target user belonging to an elderly person and an age risk score of the target user based on signaling data of the user in the target area includes:
determining ages of a plurality of users in the target area based on the signaling data;
determining a target user belonging to the elderly based on ages of a plurality of users in the target area;
and calculating an age risk score based on the age interval in which the target user is located.
The embodiment of the invention determines the age risk score of the target user based on the corresponding relation between the preset age interval and the age risk score. For example, the age risk score for 60-64 years is 1 and the age risk score for 65-69 years is 2. By the embodiment of the invention, the fraud risk caused by the age can be accurately measured, and the accuracy of fraud risk identification is improved.
In one embodiment of the present invention, identifying whether the target user is living with his son or daughter based on the target user's household data, includes:
determining whether the target user has a son or a daughter based on the household data of the target user, and if so, acquiring signaling data of the son and/or the daughter of the target user;
based on the signaling data of the target user and the signaling data of the son and/or daughter of the target user, it is determined whether the residence address of the target user is the same as the residence address of the son or daughter thereof.
The embodiment of the invention can accurately identify whether the target user is living with the child through the signaling data, thereby accurately measuring the fraud risk faced by the target user.
In one embodiment of the invention, the target user is at a lesser degree of risk of fraud when he/she is co-located with his/her son or daughter than when he/she is not co-located with his/her son or daughter.
In consideration of the fact that when the target user does not live with the child, the communication frequency of the two parties may be reduced, and the target user cannot communicate with the child in time when encountering suspected fraud, the embodiment of the invention can more comprehensively measure the fraud risk faced by the target user.
In one embodiment of the invention, the internet surfing behavior data comprises: a URL;
based on the internet surfing behavior data, calculating a browsing risk score of the target user, including:
extracting a first keyword from the URL;
matching the extracted first keywords with risk words in a pre-established risk word stock to obtain a first matching result;
based on the first matching result, a browsing risk score is calculated.
The risk word library stores a plurality of risk words related to fraud, such as fast return, high return rate, investment arbitrage, principal of assurance, network marketing, option transaction, cryptocurrency investment, fund pool and the like. In an actual application scene, the number of the first keywords can be multiple, the accumulated number of successful matching between the first keywords and the risk words can be used as the browsing risk score of the URL, and the sum of the browsing risk scores of the URLs can be used as the browsing risk score of the target user. According to the embodiment of the invention, whether the website accessed by the target user has fraud risk can be accurately identified through the risk word stock.
In one embodiment of the present invention, calculating a short message risk score for a target user based on short message data includes:
extracting a second keyword from the short message data;
matching the extracted second keywords with risk words in a pre-established risk word stock to obtain a second matching result;
and calculating the short message risk score based on the second matching result.
Through the risk word stock, the embodiment of the invention can accurately identify whether the fraud risk exists in the short message data.
In one embodiment of the invention, the method further comprises: when the fraud risk score is greater than the risk threshold and the target user has a son or daughter, alert information is sent to the son and/or daughter of the target user.
In order to further guarantee the fund safety of the target user and prevent the target user from ignoring the alarm information, the embodiment of the invention can send the alarm information to the son or daughter of the target user at the same time, and can also send the alarm information to community staff.
As shown in fig. 2, an embodiment of the present invention provides a fraud early warning method for old people, including:
step 201: based on the signaling data, ages of a plurality of users within the target area are determined.
Step 202: a target user belonging to the elderly person is determined based on ages of a plurality of users within the target area.
Step 203: and calculating an age risk score based on the age interval in which the target user is located.
Step 204: based on the account data of the target user, it is determined whether the target user has a son or a daughter, if so, step 205 is performed, otherwise step 209 is performed.
Step 205: signaling data of the son and/or daughter of the target user is acquired.
Step 206: based on the signaling data of the target user and the signaling data of the son and/or daughter of the target user, it is determined whether the residence address of the target user is the same as the residence address of the son or daughter thereof, if so, step 207 is performed, otherwise step 208 is performed.
Step 207: and determining the living risk score of the target user to be 1.
Step 210 is subsequently performed.
Step 208: and determining the living risk score of the target user to be 2.
Step 210 is subsequently performed.
Step 209: the living risk score of the target user is determined to be 3.
Step 210 is subsequently performed.
Step 210: acquiring Internet surfing behavior data and short message data of a target user based on signaling data of the target user; the internet surfing behavior data comprises: a URL.
Step 211: extracting a first keyword from the URL, matching the extracted first keyword with a risk word in a pre-established risk word stock to obtain a first matching result, and calculating a browsing risk score based on the first matching result.
Step 212: and extracting a second keyword from the short message data, matching the extracted second keyword with a risk word in a pre-established risk word stock to obtain a second matching result, and calculating the short message risk score based on the second matching result.
Step 213: based on the age risk score, the living risk score, the browsing risk score, and the text message risk score, a fraud risk score for the target user is calculated.
Step 214: and when the fraud risk score is larger than a preset risk threshold, sending alarm information to the target user and children and girls of the target user.
The embodiment of the invention can measure the fraud risk faced by the target user from multiple angles based on the signaling data, and improve the fund security of the target user.
As shown in fig. 3, an embodiment of the present invention provides a fraud early warning device for the elderly, including:
an age risk identification module 301 configured to determine a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area;
a living risk identification module 302 configured to identify whether the target user is living with his son or daughter based on the target user's household data; calculating the living risk score of the target user according to the identification result;
the content risk identification module 303 is configured to obtain internet surfing behavior data and short message data of the target user based on signaling data of the target user; calculating a browsing risk score of the target user based on the internet surfing behavior data; based on the short message data, calculating the short message risk score of the target user;
a fraud risk identification module 304 configured to calculate fraud risk scores for the target user based on the age risk score, the occupancy risk score, the browsing risk score, and the text message risk score;
the early warning module 305 is configured to send warning information to the target user when the fraud risk score is greater than a preset risk threshold;
wherein, the age risk score measures the risk degree of the target user facing fraud from the angle of age; a living risk score that measures the risk level of the target user facing fraud from the perspective of whether to live with the child; browsing risk scores, namely measuring the risk degree of the target user facing fraud from the viewpoint of surfing the internet and browsing the content; and (5) short message risk score, and measuring the risk degree of the target user facing fraud from the short message content angle.
In one embodiment of the invention, the age risk identification module 301 is configured to determine ages of a plurality of users within the target area based on the signaling data; determining a target user belonging to the elderly based on ages of a plurality of users in the target area; and calculating an age risk score based on the age interval in which the target user is located.
In one embodiment of the present invention, the living risk identification module 302 is configured to determine whether the target user has a son or a daughter based on the home registration data of the target user, and if so, obtain signaling data of the son and/or the daughter of the target user; based on the signaling data of the target user and the signaling data of the son and/or daughter of the target user, it is determined whether the residence address of the target user is the same as the residence address of the son or daughter thereof.
In one embodiment of the invention, the target user is at a lesser degree of risk of fraud when he/she is co-located with his/her son or daughter than when he/she is not co-located with his/her son or daughter.
In one embodiment of the invention, the internet surfing behavior data comprises: a URL;
a content risk identification module 303 configured to extract a first keyword from the URL; matching the extracted first keywords with risk words in a pre-established risk word stock to obtain a first matching result; based on the first matching result, a browsing risk score is calculated.
In one embodiment of the present invention, the content risk identification module 303 is configured to extract a second keyword from the short message data; matching the extracted second keywords with risk words in a pre-established risk word stock to obtain a second matching result; and calculating the short message risk score based on the second matching result.
In an embodiment of the invention, the pre-warning module 305 is configured to send warning information to the son and/or daughter of the target user when the fraud risk score is greater than the risk threshold and the target user has a son or daughter.
The embodiment of the invention provides electronic equipment, which comprises:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of the embodiments described above.
Embodiments of the invention provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as claimed in any of claims 1-7.
Referring now to FIG. 4, there is illustrated a schematic diagram of a computer system 400 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 401.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-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 computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not in some cases limit the module itself, and for example, the transmitting module may also be described as "a module that transmits a picture acquisition request to a connected server".
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The fraud early warning method for the old is characterized by comprising the following steps of:
determining a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area;
identifying whether the target user is living with his son or daughter based on the home registration data of the target user;
calculating the living risk score of the target user according to the identification result;
acquiring Internet surfing behavior data and short message data of the target user based on the signaling data of the target user;
calculating the browsing risk score of the target user based on the internet surfing behavior data;
based on the short message data, calculating a short message risk score of the target user;
calculating a fraud risk score for the target user based on the age risk score, the occupancy risk score, the browsing risk score, and the text message risk score;
when the fraud risk score is larger than a preset risk threshold, sending alarm information to the target user;
the age risk score measures the risk degree of the target user facing fraud from the angle of age; the living risk score measures the risk degree of the target user facing fraud from the perspective of whether the target user lives with children or not; the browsing risk score is used for measuring the risk degree of the target user facing fraud from the internet browsing content angle; and the short message risk score measures the risk degree of the target user facing fraud from the short message content angle.
2. The method of claim 1, wherein,
determining a target user belonging to an elderly person and an age risk score of the target user based on signaling data of the user in the target area, comprising:
determining ages of a plurality of users in the target area based on the signaling data;
determining target users belonging to the elderly based on ages of a plurality of users in the target area;
and calculating the age risk score based on the age interval of the target user.
3. The method of claim 1, wherein,
based on the household data of the target user, identifying whether the target user is living with a son or a daughter of the target user comprises the following steps:
determining whether the target user has a son or a daughter based on the household data of the target user, and if so, acquiring signaling data of the son and/or the daughter of the target user;
based on the signaling data of the target user and the signaling data of the son and/or daughter of the target user, it is determined whether the residence address of the target user is the same as the residence address of the son or daughter thereof.
4. The method of claim 3, wherein,
the target user is at a lesser degree of fraud when he is co-located with his son or daughter than when he is not co-located with his son or daughter.
5. The method of claim 1, wherein,
the internet surfing behavior data comprises: a URL;
based on the internet surfing behavior data, calculating a browsing risk score of the target user, including:
extracting a first keyword from the URL;
matching the extracted first keywords with risk words in a pre-established risk word stock to obtain a first matching result;
and calculating the browsing risk score based on the first matching result.
6. The method of claim 1, wherein,
based on the short message data, calculating a short message risk score of the target user, including:
extracting a second keyword from the short message data;
matching the extracted second keywords with risk words in a pre-established risk word stock to obtain a second matching result;
and calculating the short message risk score based on the second matching result.
7. The method as recited in claim 1, further comprising:
when the fraud risk score is greater than the risk threshold and the target user has a son or a daughter, the alert information is sent to the son and/or daughter of the target user.
8. The utility model provides a fraud early warning device towards old person which characterized in that includes:
the age risk identification module is configured to determine a target user belonging to the elderly and an age risk score of the target user based on signaling data of the user in the target area;
a living risk identification module configured to identify whether the target user is living with his son or daughter based on the home registration data of the target user; calculating the living risk score of the target user according to the identification result;
the content risk identification module is configured to acquire Internet surfing behavior data and short message data of the target user based on signaling data of the target user; calculating the browsing risk score of the target user based on the internet surfing behavior data; based on the short message data, calculating a short message risk score of the target user;
a fraud risk identification module configured to calculate a fraud risk score for the target user based on the age risk score, the occupancy risk score, the browsing risk score, and the short message risk score;
the early warning module is configured to send warning information to the target user when the fraud risk score is larger than a preset risk threshold;
the age risk score measures the risk degree of the target user facing fraud from the angle of age; the living risk score measures the risk degree of the target user facing fraud from the perspective of whether the target user lives with children or not; the browsing risk score is used for measuring the risk degree of the target user facing fraud from the internet browsing content angle; and the short message risk score measures the risk degree of the target user facing fraud from the short message content angle.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-7.
10. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-7.
Priority Applications (1)
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