Anti-fraud method applied to remote control scene

Abstract

The invention discloses an anti-fraud method applied to a remote control scene. The remote control platform plays a role in equipment hardware information management, equipment network information management, user information management, user behavior information collection and management and the like. In order to cope with the occurrence of a network fraud case in a remote control scene, an anti-fraud coping strategy is provided in three stages of risk prediction and avoidance in advance, in-event risk detection and post-event risk feedback, and fraud in remote control is fully avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of remote control software, and in particular to an anti-fraud method applied to a remote control scenario. Background Art

[0002] Remote control software is widely used in social fields such as enterprise telecommuting, remote collaboration, and personal remote gaming and entertainment. It ensures the confidentiality of enterprise production, solves a major problem of enterprise telecommuting, and provides convenience for individual users to adapt gaming and entertainment on different terminals. In recent years, domestic online fraud cases have occurred frequently, and many online fraud cases have disclosed the use of remote control software to commit fraud (by remotely controlling the deceived user's terminal device to carry out bank transfers). Therefore, it is very necessary to implement certain anti-fraud strategies and publicity in remote control software to prevent the occurrence of fraud cases in remote control scenarios as much as possible.

[0003] Therefore, the prior art has defects and needs to be improved. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an anti-fraud method applied to a remote control scenario, so as to prevent the occurrence of network fraud in the remote control scenario and protect the property safety of users.

[0005] The technical solution of the present invention is as follows: an anti-fraud method applied to a remote control scenario is provided, comprising the following steps.

[0006] S1: Build risk control services in the remote control platform. The risk control services provide services such as user blacklists, device blacklists, IP address blacklists, geographic area blacklists, and payment software information collection. The remote control platform manager collects the above risk information from the police or anti-fraud professionals in advance to initialize the risk control service data.

[0007] S2: When the master terminal and the controlled terminal log in, a TCP connection is initiated to the remote control platform. Therefore, the remote control platform can detect the network IP addresses of the master terminal and the controlled terminal, the user information of the logged-in device, and further parse the device IP addresses of the master terminal and the controlled terminal to obtain the user's geographical location information. At the same time, the master terminal and the controlled terminal both report the SDN network information to the remote control platform.

[0008] S3: When the master control terminal obtains the SDN network information of the controlled terminal from the remote control platform, the risk control service executes the risk control rules, including user blacklist detection, device blacklist detection, IP address blacklist detection and geographic area blacklist detection for both the master control terminal and the controlled terminal. If the risk avoidance strategy is hit, an error message is returned to the master control terminal. Otherwise, the remote control platform returns the SDN network information of the controlled terminal to the master control platform, thereby achieving "risk prediction and avoidance in advance".

[0009] S4: After the SDN network information of the controlled terminal is correctly returned based on step S3, the remote control platform sends a payment software information list to the controlled terminal.

[0010] S5: The controlled terminal detects the currently active application in real time during the remote control process. If there is any application in the payment software list, the remote control is immediately interrupted, thereby achieving "risk detection during the process". The currently active application refers to the application currently running on the controlled terminal.

[0011] S6: Establish a post-risk feedback mechanism to collect risk events reported by users. The remote control platform extracts characteristic information from risk events reported by users, further improves risk control rules, and increases the probability of risk prevention, thereby achieving "post-risk feedback" and improving risk control strategies.

[0012] In the present invention, after the remote control platform connects to the main control terminal and the controlled terminal, it obtains the network IP address, user information of the login device, device IP address, geographical location information of the user, and SDN network information; executes risk control rules through risk control services, including user blacklist detection, device blacklist detection, IP address blacklist detection, and geographical area blacklist detection for both the main control terminal and the controlled terminal, thereby predicting and avoiding risks in advance; after predicting and avoiding risks in advance, the remote control platform sends a payment software information list to the controlled terminal, and when the controlled terminal detects the currently active application list in real time during the remote control process, if the payment software list is hit, the remote control is immediately interrupted, thereby achieving "in-process risk detection" and avoiding losses; finally, the remote control platform extracts feature information from risk events fed back by users, further improves risk control rules, and increases the probability of risk prevention, thereby achieving "post-event risk feedback" and improving risk control strategies; thereby reducing the probability of fraud cases.

[0013] The present invention prevents the occurrence of fraud cases in remote control scenarios through the three stages of "prior risk prediction and avoidance", "in-process risk detection" and "post-event risk feedback". Through the joint prevention and control of the three stages, the probability of fraud cases can be greatly reduced.

[0014] Furthermore, the payment software information list includes: payment software name, payment software application package name information.

[0015] Further, in step S2, it specifically includes: S21: the controlled terminal establishes a TCP connection with the remote control platform and reports the SDN network information; the master terminal establishes a TCP connection with the remote control platform and reports the SDN network information; S22: the remote control platform verifies the user identities of the master terminal and the controlled terminal, parses the device IP addresses of the master terminal and the controlled terminal and the geographical location information of the user, and stores the SDN network information of the master terminal and the controlled terminal.

[0016] Further, in step S3, it specifically includes: S31: the master control terminal obtains the SDN network information of the controlled terminal from the remote control platform; S32: the remote control platform performs risk detection on the master control terminal and the controlled terminal according to the risk control service, specifically including: user blacklist detection, IP blacklist detection, device blacklist, geographic area blacklist detection, that is, judging whether the master control terminal and the controlled terminal are in the user blacklist, IP blacklist, device blacklist, and geographic area blacklist; S33: the risk control service returns the risk detection result to the remote control platform; specifically: if the risk avoidance strategy is hit, the risk control service returns the error information that the remote control platform should return to the master control terminal; if the risk avoidance strategy is not hit, the risk control service returns the SDN network information of the controlled terminal and the payment list information to the remote control platform.

[0017] Furthermore, the payment software list information is stored in the risk control service.

[0018] Further, in step S4, specifically: S41: after correctly returning the SDN network information and payment list information of the controlled terminal based on step S3, the remote control platform returns the SDN network information of the controlled terminal to the master terminal, and the master terminal remotely controls the controlled terminal through the SDN network information; S42: the remote control platform sends the payment software information list to the controlled terminal.

[0019] Furthermore, the specific steps of step S5 are: the remote control platform detects the user behavior of the controlled terminal in real time, and when it is detected that the controlled terminal opens an APP in the payment software list, the remote control of the controlled terminal by the main control terminal is interrupted.

[0020] Furthermore, the step S5 also includes: after the remote control is interrupted, the remote control platform sends a message to the controlled terminal indicating that there may be fraud and conducting anti-fraud publicity.

[0021] Furthermore, the controlled terminal can open the APP in the payment software list in the following ways: the controlled terminal opens the APP in the payment software list installed by itself, and the controlled terminal takes a photo of the APP in the payment software list through a camera, thereby fully avoiding the loss of money caused by the payment APP in the controlled terminal and the loss of money caused by the payment APP in other smart terminal devices scanned by the controlled terminal.

[0022] By adopting the above scheme, the present invention provides an anti-fraud method applied to remote control scenarios, which uses the remote control platform to manage device hardware information, device network information, user information, and user behavior information collection and management. In order to deal with the occurrence of network fraud cases in remote control scenarios, anti-fraud response strategies are provided in three stages: "pre-risk prediction and avoidance", "risk detection during the event", and "post-risk feedback", to fully avoid being defrauded in remote control. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a logic flow chart of the present invention. DETAILED DESCRIPTION

[0024] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] See also Figure 1 The present invention provides an anti-fraud method applied to a remote control scenario, comprising the following steps.

[0026] S1: Build risk control services in the remote control platform (telecontrol platform). The risk control services provide services such as user blacklists, device blacklists, IP address blacklists, geographic area blacklists, and payment software information collection. The remote control platform manager collects the above risk information from the police or anti-fraud professionals in advance to initialize the risk control service data.

[0027] S2: When the master terminal (master) and the controlled terminal (controlled) log in, a TCP connection is initiated to the remote control platform. Therefore, the remote control platform can detect the network IP addresses of the master terminal and the controlled terminal, the user information of the logged-in device, and further parse the device IP addresses of the master terminal and the controlled terminal to obtain the user's geographical location information. At the same time, the master terminal and the controlled terminal both report the SDN network information to the remote control platform.

[0028] S3: When the master control terminal obtains the SDN network information of the controlled terminal from the remote control platform, the risk control service executes the risk control rules, including user blacklist detection, device blacklist detection, IP address blacklist detection and geographic area blacklist detection for both the master control terminal and the controlled terminal. If the risk avoidance strategy is hit, an error message is returned to the master control terminal. Otherwise, the remote control platform returns the SDN network information of the controlled terminal to the master control platform, thereby achieving "risk prediction and avoidance in advance".

[0029] S4: After the SDN network information of the controlled terminal is correctly returned based on step S3, the remote control platform sends a payment software information list to the controlled terminal.

[0030] S5: The controlled terminal detects the currently active application in real time during the remote control process. If there is any application in the payment software list, the remote control is immediately interrupted, thereby achieving "risk detection during the process".

[0031] S6: Establish a post-risk feedback mechanism to collect risk events reported by users. The remote control platform extracts characteristic information from risk events reported by users, further improves risk control rules, and increases the probability of risk prevention, thereby achieving "post-risk feedback" and improving risk control strategies.

[0032] In this embodiment, the payment software information list includes: payment software name and payment software application package name information.

[0033] In this embodiment, in step S2, it specifically includes: S21: the controlled terminal establishes a TCP connection with the remote control platform and reports the SDN network information; the master terminal establishes a TCP connection with the remote control platform and reports the SDN network information; S22: the remote control platform verifies the user identities of the master terminal and the controlled terminal, parses the device IP addresses of the master terminal and the controlled terminal and the geographical location information of the user, and stores the SDN network information of the master terminal and the controlled terminal.

[0034] In this embodiment, in step S3, specifically including: S31: the master control terminal obtains the SDN network information of the controlled terminal from the remote control platform; S32: the remote control platform performs risk detection on the master control terminal and the controlled terminal according to the risk control service, specifically including: user blacklist detection, IP blacklist detection, device blacklist, geographic area blacklist detection; S33: the risk control service returns the risk detection result to the remote control platform; specifically: if the risk avoidance strategy is hit, the risk control service returns the error information that the remote control platform should return to the master control terminal; if the risk avoidance strategy is not hit, the risk control service returns the SDN network information of the controlled terminal and the payment list information to the remote control platform.

[0035] In this embodiment, the payment software list information is stored in the risk control service.

[0036] In this embodiment, in step S4, specifically: S41: after correctly returning the SDN network information and payment list information of the controlled terminal based on step S3, the remote control platform returns the SDN network information of the controlled terminal to the master terminal, and the master terminal remotely controls the controlled terminal through the SDN network information; S42: the remote control platform sends the payment software information list to the controlled terminal.

[0037] In this embodiment, the specific steps of step S5 are: the remote control platform detects the user behavior of the controlled terminal in real time, and when it is detected that the controlled terminal opens an APP in the payment software list, the remote control of the controlled terminal by the main control terminal is interrupted.

[0038] In this embodiment, step S5 further includes: after the remote control is interrupted, the remote control platform sends a message to the controlled terminal indicating that there may be fraud and conducting anti-fraud publicity.

[0039] In this embodiment, the controlled terminal opens the APP in the payment software list in the following ways: the controlled terminal opens the APP in the payment software list installed by itself, and the controlled terminal photographs the APP in the payment software list through a camera.

[0040] By adopting the above scheme, the present invention provides an anti-fraud method applied to remote control scenarios, which uses the remote control platform to manage device hardware information, device network information, user information, and user behavior information collection and management. In order to deal with the occurrence of network fraud cases in remote control scenarios, anti-fraud response strategies are provided in three stages: "pre-risk prediction and avoidance", "risk detection during the event", and "post-risk feedback", to fully avoid being defrauded in remote control.

[0041] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An anti-fraud method applied to a remote control scenario, characterized in that: The following steps are involved: S1: Build risk control services in the remote control platform. The risk control services provide services such as user blacklists, device blacklists, IP address blacklists, geographic area blacklists, and payment software information collection. The remote control platform management party collects the above risk information in advance to initialize the risk control service data. S2: When the master terminal and the controlled terminal log in, they initiate a TCP connection to the remote control platform. Therefore, the remote control platform can detect the network IP address of the master terminal and the user information of the logged-in device, and further parse the IP address of the master terminal device to obtain the user's geographical location information. At the same time, the controlled terminal reports the SDN network information to the remote control platform. S3: When the master terminal obtains the SDN network information of the controlled terminal from the remote control platform, the risk control service executes the risk control rules, including user blacklist detection, device blacklist detection, IP address blacklist detection and geographic area blacklist detection for the master terminal. If the risk avoidance strategy is hit, an error message is returned to the master terminal. Otherwise, the remote control platform returns the SDN network information of the controlled terminal to the master platform; S4: After the SDN network information of the controlled terminal is correctly returned based on step S3, the remote control platform sends a payment software information list to the controlled terminal; S5: The controlled terminal detects the currently active application in real time during the remote control process. If there is any application in the payment software list, the remote control is immediately terminated; S6: Establish a post-risk feedback mechanism to collect risk events reported by users. The remote control platform extracts feature information from risk events reported by users and further improves risk control rules.

2. The anti-fraud method applied to a remote control scenario according to claim 1, characterized in that: Payment software information list, including: payment software name, payment software application package name information.

3. The anti-fraud method applied to a remote control scenario according to claim 1, characterized in that: In step S2, it specifically includes: S21: The controlled terminal establishes a TCP connection with the remote control platform and reports SDN network information; The main control terminal establishes a TCP connection with the remote control platform; S22: The remote control platform verifies the user identity of the master control terminal, resolves the device IP address of the master control terminal and the geographical location information of the user, and stores the SDN network information of the controlled terminal.

4. The anti-fraud method applied to a remote control scenario according to claim 3, characterized in that: In step S3, it specifically includes: S31: The master control terminal obtains the SDN network information of the controlled terminal from the remote control platform; S32: The remote control platform performs risk detection on the master control terminal according to the risk control service, including: user blacklist detection, IP blacklist detection, device blacklist detection, and geographic area blacklist detection; S33: The risk control service returns the risk detection result to the remote control platform; specifically: if the risk avoidance strategy is hit, the risk control service returns the remote control platform to return an error message to the main control terminal; if the risk avoidance strategy is not hit, the risk control service returns the SDN network information and payment list information of the controlled terminal to the remote control platform.

5. The anti-fraud method applied to a remote control scenario according to claim 4, characterized in that: The payment software list information is stored in the risk control service.

6. The anti-fraud method applied to a remote control scenario according to claim 4, characterized in that: In step S4, specifically: S41: After the SDN network information and payment list information of the controlled terminal are correctly returned based on step S3, the remote control platform returns the SDN network information of the controlled terminal to the master control terminal, and the master control terminal remotely controls the controlled terminal through the SDN network information; S42: The remote control platform sends a payment software information list to the controlled terminal.

7. The anti-fraud method applied to a remote control scenario according to claim 6, characterized in that: The specific steps of step S5 are: the remote control platform detects the user behavior of the controlled terminal in real time, and when it is detected that the controlled terminal opens an APP in the payment software list, the remote control of the controlled terminal by the main control terminal is interrupted.

8. The anti-fraud method applied to a remote control scenario according to claim 7, characterized in that: The step S5 also includes: after the remote control is interrupted, the remote control platform sends a warning to the controlled terminal that there may be fraud and conducts anti-fraud publicity.

9. The anti-fraud method applied to a remote control scenario according to claim 6, characterized in that: The controlled terminal opens the APP in the payment software list in the following ways: the controlled terminal opens the APP in the payment software list installed by itself, and the controlled terminal photographs the APP in the payment software list through a camera.

Images