A fraud number marking method and system based on super SIM card

Abstract

A fraud number marking method and system based on a super SIM card, the method comprising: when the super SIM card identifies an incoming call hang-up event, arousing an STK pop-up window and pulling up a browser, and the mobile terminal sending an authentication application to a super SIM card basic service platform; the super SIM card basic service platform authenticating the user identity, after the authentication passes, querying a fraud marking platform link URL, and issuing a Token, and then returning the fraud marking platform link URL and the Token to the mobile terminal; the browser of the mobile terminal carrying the Token and jumping to the fraud marking platform link URL; the fraud marking platform requesting the super SIM basic service platform to verify the Token, and after the verification passes, pushing a calling number marking page to the mobile terminal in the form of an H5 page. The present application relates to the field of communication, and can realize user marking of fraud numbers without relying on any client software, mobile phone brand or operating system.

Description

Technical Field

[0001] This invention relates to a method and system for marking fraudulent numbers based on a super SIM card, and relates to the field of communications. Background Technology

[0002] A SIM (Subscriber Identity Module) is a chip card with a microprocessor. It consists of five modules: a CPU, RAM (Running RAM), ROM (Program Memory), EPROM (Electronic Memory), and a serial communication unit, all integrated into a single integrated circuit. The Super SIM card, an upgrade from the standard SIM card, offers enhanced security, enabling dynamic application downloads, supporting near-field communication, and combining various application functions such as bank USB tokens, public transport cards, secure login authentication, and access control cards into a single SIM card, thus achieving multi-card integration.

[0003] In recent years, problems such as harassing marketing calls and fraudulent calls have become increasingly prominent. Multiple internet operators have launched various fraudulent call blocking services, all of which require maintaining an accurate number database to accurately identify fraudulent calls. The attribute tags for these numbers often require collecting tagging data from mobile phone users. However, traditional number tagging channels require users to download and install corresponding mobile app clients, are limited by mobile phone brands or operating systems, and the tagging data is not precise enough; updating the tags requires updating the client software.

[0004] Therefore, how to enable users to mark fraudulent numbers without relying on any single client software, mobile phone brand, or operating system has become a key technical issue of concern for technicians. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method and system for marking fraudulent numbers based on a super SIM card, which can enable users to mark fraudulent numbers without relying on any separate client software, mobile phone brand or operating system.

[0006] To achieve the above objectives, the present invention provides a method for identifying fraudulent numbers based on a super SIM card, comprising:

[0007] Step 1: When the Super SIM card detects an incoming call hang-up event, it invokes the STK pop-up window and launches the browser. The mobile terminal then sends an authentication request to the Super SIM card basic service platform.

[0008] Step 2: The Super SIM card basic service platform authenticates the user's identity. After successful authentication, it queries the fraud identification platform link URL, issues a token for it, and then returns the queried fraud identification platform link URL and the issued token to the mobile terminal.

[0009] Step 3: The mobile device's browser carries the token and redirects to the fraud identification platform's link URL;

[0010] Step 4: The fraud marking platform receives the fraud marking platform link URL and Token from the mobile terminal, requests the Super SIM basic service platform to verify the Token, and after successful verification, pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

[0011] To achieve the above objectives, the present invention also provides a fraud number marking system based on a super SIM card, comprising:

[0012] When the Super SIM card detects a call hang-up event, the mobile terminal will activate the STK pop-up and launch the browser. Then, it will send an authentication request to the Super SIM card basic service platform. After receiving the fraud marking platform link URL and the issued token returned by the Super SIM card basic service platform, the browser will carry the token and redirect to the fraud marking platform link URL, and finally display the caller ID marking page pushed by the fraud marking platform to the user.

[0013] The Super SIM card basic service platform receives authentication requests from mobile terminals, authenticates user identities, and after successful authentication, queries the fraud marking platform link URL, issues a token, and then returns the queried fraud marking platform link URL and the issued token to the mobile terminal; it also verifies the token according to the fraud marking platform's request.

[0014] The fraud marking platform receives a fraud marking platform link URL and token from the mobile terminal, requests the Super SIM basic service platform to verify the token, and pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: Users of this invention do not need to install any client software; they only need to upgrade their mobile phone SIM card to a Super SIM card. This avoids many problems associated with traditional methods such as apps, browsers, and mini-programs, such as the high cost of app downloads and promotion, and the inconvenience of browsers requiring URL input for user memorization and operation. In this invention, users can independently choose the specific type of caller ID to mark. The entire marking operation is completed by the called user. After submission, the marking result can be used for dynamic updates to the fraudulent number database. Based on the latest domestic and international fraud call prevention information, the service can be updated in the cloud without any user intervention, dynamically adjusting the marking items on the caller ID marking page. This invention can also be promoted for marking services such as harassing numbers. Attached Figure Description

[0016] Figure 1 This is a flowchart of a method for marking fraudulent numbers based on a super SIM card according to the present invention.

[0017] Figure 2 yes Figure 1 The flowchart for the specific steps of Step 1.

[0018] Figure 3 This is a schematic diagram of the composition structure of a fraud number marking system based on a super SIM card according to the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0020] like Figure 1 As shown, this invention provides a method for identifying fraudulent numbers based on a Super SIM card. A mobile terminal with a Super SIM card receives incoming calls, including:

[0021] Step 1: When the Super SIM card detects a call hang-up event (including hang-up by the calling or called party), it will bring up the STK (SIM TOOL KIT) pop-up window and launch a browser. The mobile terminal will then send an authentication request to the Super SIM card basic service platform.

[0022] Step 2: The Super SIM card basic service platform authenticates the user's identity. After successful authentication, it queries the fraud identification platform link URL, issues a token for it, and then returns the queried fraud identification platform link URL and the issued token to the mobile terminal.

[0023] Step 3: The mobile device's browser carries the token and redirects to the fraud identification platform's link URL;

[0024] Step 4: The fraud marking platform receives the fraud marking platform link URL and Token from the mobile terminal, requests the Super SIM basic service platform to verify the Token, and after successful verification, pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

[0025] like Figure 2 As shown, step one may further include:

[0026] Step 11: When the Super SIM card detects an incoming call hang-up event, it determines whether the hang-up time of this call is less than a preset threshold. If yes, proceed to the next step; otherwise, this process ends.

[0027] Step 12: Does the Super SIM card determine if the calling number is a whitelisted number? If yes, this process ends; otherwise, proceed to the next step.

[0028] Step 13: The Super SIM card sends a Launch Browser command to the mobile terminal. The mobile terminal then displays an STK pop-up window, prompting the user to confirm whether the incoming call is a scam call. If not, the process ends; if so, an authentication request is sent to the Super SIM card basic service platform.

[0029] In step three, when the mobile device's browser redirects to the fraud flagging platform's URL, it also carries the caller's number from the previous call. Therefore, step four also includes:

[0030] The fraud flagging platform determines whether the received caller ID has a flagging record. If so, it extracts historical flagging information from the caller ID's flagging record and generates a caller ID flagging page that includes historical flagging information, then pushes the caller ID flagging page to the mobile terminal. If not, it generates a caller ID flagging page for the first time and pushes the caller ID flagging page to the mobile terminal.

[0031] The fraud labeling platform can also dynamically adjust the labeling items on the caller ID labeling page based on the latest domestic and international fraud call prevention information, such as suspected fraud, harassment, loan sales, insurance sales, financial management sales, education and training, real estate marketing, and advertising harassment.

[0032] In this invention, users can view detailed tagging options and label caller ID types via a browser on their mobile devices without opening any client software, thus enabling rapid tagging of fraudulent numbers. The tagged numbers generated by user participation are analyzed by the system, filtered according to verification rules, reviewed, and their quality verified before being processed and stored in a database using a specific strategy. This allows for the creation of a dynamically updated and more autonomous standard database, which can be applied to various fraud prevention services. The processing and storage of tagged numbers generated by user participation further includes:

[0033] The process involves obtaining tagging information for several tagged numbers and constructing a tagging matrix R from all the tagged numbers and tagging information. Each row of R corresponds to a tagged number and its tagging information, and each row of R may contain elements such as the tagged number, tagging time, and tagging item. Then, R is normalized, and the normalized R is input into an improved ItemRank algorithm to output the predicted tag value for each tagged number. Finally, the process checks whether the predicted tag value for each tagged number matches the tag marked by the user. If they match, the tagged number and the tag marked by the user are saved into the database.

[0034] The improved ItemRank algorithm treats each row of R as a pattern, then clusters each pattern into different label classes. Finally, it adds a column to the label matrix R, which records the predicted label value of each labeled number (i.e., which cluster it belongs to). The algorithm outputs R with the added column. In this way, the predicted label value of each labeled number can be obtained by reading the last column of R.

[0035] like Figure 3 As shown, the present invention provides a fraudulent number marking system based on a super SIM card, comprising:

[0036] When the Super SIM card detects a call hang-up event (including hang-up by the calling or called party) on the mobile terminal, it invokes the STK pop-up window and launches the browser. Then, it sends an authentication request to the Super SIM card basic service platform. After receiving the fraud marking platform link URL and the issued token returned by the Super SIM card basic service platform, the browser carries the token and redirects to the fraud marking platform link URL, and finally displays the caller ID marking page pushed by the fraud marking platform to the user.

[0037] The Super SIM card basic service platform receives authentication requests from mobile terminals, authenticates user identities, and after successful authentication, queries the fraud marking platform link URL, issues a token, and then returns the queried fraud marking platform link URL and the issued token to the mobile terminal; it also verifies the token according to the fraud marking platform's request.

[0038] The fraud marking platform receives a fraud marking platform link URL and token from the mobile terminal, requests the Super SIM basic service platform to verify the token, and pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

[0039] The Super SIM card in the mobile terminal further includes:

[0040] When the incoming call hang-up triggering device detects an incoming call hang-up event on the mobile terminal, it determines whether the hang-up time of this call is less than a preset threshold and whether the calling number is not a whitelisted number. If so, it sends a Launch Browser command to the mobile terminal.

[0041] Mobile terminals include:

[0042] The browser access device receives the fraud identification platform link URL and the issued token returned by the Super SIM Card Basic Service Platform, and then redirects the user to the fraud identification platform link URL with the token and the caller ID of the incoming call.

[0043] Fraud flagging platforms include:

[0044] The tag page generation device determines whether the received calling number has a tag record. If so, it extracts historical tag information from the calling number's tag record and generates a calling number tag page that includes historical tag information. If not, it generates a calling number tag page for the first time.

[0045] The tagging page generator can also dynamically adjust the tagging items on the caller ID tagging page based on the latest domestic and international fraud call prevention information, such as suspected fraud, harassment, loan sales, insurance sales, financial management sales, education and training, real estate marketing, and advertising harassment.

[0046] For user-generated tagged phone numbers, after system analysis, verification rule filtering, review, and number quality verification, they will be processed and stored in a database according to certain strategies. This allows for the creation of a dynamically updated, more autonomous standard library, which can then be applied to various fraud prevention services. The fraud tagging platform also includes:

[0047] The tag verification device acquires tag information for several tagged numbers and constructs a tag matrix R from all tagged numbers and tag information. Each row of R corresponds to a tagged number and its tag information, and each row of R may contain elements such as the tagged number, tag time, and tag item. Then, R is normalized, and the normalized R is input into an improved ItemRank algorithm to output the tag prediction value for each tagged number. Finally, it checks whether the tag prediction value of each tagged number matches the tag marked by the user. If they match, the tagged number and the tag marked by the user are saved into a database.

[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for identifying fraudulent numbers based on a super SIM card, characterized in that, Including: Step 1: When the Super SIM card detects an incoming call hang-up event, it invokes the STK pop-up window and launches the browser. The mobile terminal then sends an authentication request to the Super SIM card basic service platform. Step 2: The Super SIM card basic service platform authenticates the user's identity. After successful authentication, it queries the fraud identification platform link URL, issues a token for it, and then returns the queried fraud identification platform link URL and the issued token to the mobile terminal. Step 3: The mobile device's browser carries the token and redirects to the fraud identification platform's link URL; Step 4: The fraud marking platform receives the fraud marking platform link URL and Token from the mobile terminal, requests the Super SIM basic service platform to verify the Token, and after successful verification, pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

2. The method according to claim 1, characterized in that, Step one further includes: Step 11: When the Super SIM card detects an incoming call hang-up event, it determines whether the hang-up time of this call is less than a preset threshold. If yes, proceed to the next step; otherwise, this process ends. Step 12: The Super SIM card determines whether the calling number is a whitelisted number. If it is, this process ends; otherwise, proceed to the next step. Step 13: The Super SIM card sends a Launch Browser command to the mobile terminal. The mobile terminal then displays an STK pop-up window, prompting the user to confirm whether the incoming call is a scam call. If not, the process ends; if so, an authentication request is sent to the Super SIM card basic service platform.

3. The method according to claim 1, characterized in that, In step three, when the mobile device's browser redirects to the fraud flagging platform's URL, it also carries the caller's number from this call. Step four also includes: The fraud flagging platform determines whether the received caller ID has a flagging record. If so, it extracts historical flagging information from the caller ID's flagging record and generates a caller ID flagging page that includes historical flagging information. Then, it pushes the caller ID flagging page to the mobile terminal. If not, it generates a caller ID flagging page for the first time and pushes the caller ID flagging page to the mobile terminal.

4. The method according to claim 1, characterized in that, The caller ID tagging page includes tags such as: suspected fraud, harassment, loan sales, insurance sales, financial management sales, education and training, real estate marketing, and advertising harassment.

5. The method according to claim 1, characterized in that, For the tagged numbers generated by user participation in tagging, the following are also included: The tagging information of several tagged numbers is obtained, and a tagging matrix R is formed by all tagged numbers and tagging information, where each row of R corresponds to a tagged number and its tagging information. Then, R is normalized, and the normalized R is input into the improved ItemRank algorithm to output the predicted tag value of each tagged number. Finally, it is determined whether the predicted tag value of each tagged number is consistent with the tag marked by the user. If they are consistent, the tagged number and the tag marked by the user are saved into the database.

6. A fraudulent number marking system based on a super SIM card, characterized in that, Including: When the Super SIM card detects a call hang-up event, the mobile terminal will activate the STK pop-up and launch the browser. Then, it will send an authentication request to the Super SIM card basic service platform. After receiving the fraud marking platform link URL and the issued token returned by the Super SIM card basic service platform, the browser will carry the token and redirect to the fraud marking platform link URL, and finally display the caller ID marking page pushed by the fraud marking platform to the user. The Super SIM card basic service platform receives authentication requests from mobile terminals, authenticates user identities, and after successful authentication, queries the fraud marking platform link URL, issues a token, and then returns the queried fraud marking platform link URL and the issued token to the mobile terminal; it also verifies the token according to the fraud marking platform's request. The fraud marking platform receives a fraud marking platform link URL and token from the mobile terminal, requests the Super SIM basic service platform to verify the token, and pushes the caller ID marking page to the mobile terminal in the form of an H5 page to obtain fraud number marking information.

7. The system according to claim 6, characterized in that, The Super SIM card in the mobile terminal further includes: When the incoming call hang-up triggering device detects an incoming call hang-up event on the mobile terminal, it determines whether the hang-up time of this call is less than a preset threshold and whether the caller number is not a whitelist number. If so, it sends a Launch Browser command to the mobile terminal.

8. The system according to claim 6, characterized in that, Mobile terminals include: The browser access device receives the fraud identification platform link URL and the issued token returned by the Super SIM Card Basic Service Platform, and then redirects the user to the fraud identification platform link URL with the token and the caller ID of the incoming call. Fraud flagging platforms include: The tag page generation device determines whether the received calling number has a tag record. If so, it extracts historical tag information from the calling number's tag record and generates a calling number tag page that includes historical tag information. If not, it generates a calling number tag page for the first time.

9. The system according to claim 6, characterized in that, The caller ID tagging page includes tags such as: suspected fraud, harassment, loan sales, insurance sales, financial management sales, education and training, real estate marketing, and advertising harassment.

10. The system according to claim 6, characterized in that, Fraud flagging platforms also include: The tag verification device acquires tag information for several tagged numbers and constructs a tag matrix R from all tagged numbers and tag information, where each row of R corresponds to a tagged number and its tag information. Then, R is normalized and input into an improved ItemRank algorithm to output a predicted tag value for each tagged number. Finally, it checks whether the predicted tag value for each tagged number matches the tag marked by the user. If they match, the tagged number and the tag marked by the user are saved into a database.

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