Handheld intelligent identification system
Through the handheld intelligent identification system, the cloud platform and handheld intelligent detection device are used to solve the property losses caused by mobile APP fraud, the rapid and effective risk identification of mobile APPs is achieved, and the security of the use of smart devices is improved.
Patent Information
- Application Number
- CN202411912023.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-04-15
AI Technical Summary
The existing technology has failed to effectively solve the property losses caused to users by mobile APP fraud, and lacks convenient mobile phone risk detection services.
Provide a handheld intelligent identification system, including a cloud platform and a handheld intelligent detection device. The handheld intelligent detection device obtains the APP information of the smart device through the connection port, and sends it to the cloud platform through the wireless transmission module for risk detection, and displays the detection results of the module. The cloud platform includes APP list, intelligent matching module, history module, etc., which are used to detect APP risks and return results.
It realizes rapid and effective risk identification of APPs in users' mobile phones, improves the security of using smart devices, and helps users identify and prevent potential APP risks.
Smart Images

Figure CN119830286A_ABST
Abstract
Description
Technical Field
[0001] The invention specifically relates to a handheld intelligent recognition system. Background Art
[0002] With the widespread use of smartphones, people's lives are deeply bound to them. In recent years, mobile APP fraud has brought great troubles to people's lives, and serious cases will cause great property losses to users. However, mobile APP risk detection services have not received people's attention. There is an urgent need for a convenient mobile phone risk detection device that can quickly and effectively identify the risks of users' mobile APPs. Summary of the invention
[0003] The present invention provides a handheld intelligent identification system to solve the above-mentioned technical problems, and specifically adopts the following technical solutions:
[0004] A handheld intelligent identification system, comprising: a cloud platform and a handheld intelligent detection device;
[0005] The handheld intelligent detection device comprises:
[0006] Connection ports for connecting smart devices;
[0007] An information acquisition module, connected to the connection port, for acquiring information about apps installed in the connected smart device;
[0008] A first wireless transmission module is connected to the information acquisition module, and sends the APP information acquired by the information acquisition module to the cloud platform. The cloud platform detects whether there is a risky APP based on the APP information sent by the first wireless transmission module, and returns the detection result to the first wireless transmission module;
[0009] The display module is connected to the first wireless transmission module and is used to display the detection result.
[0010] Furthermore, the cloud platform includes:
[0011] A second wireless transmission module, used for performing wireless data transmission with the first wireless transmission module, and the second wireless transmission module receives the APP information;
[0012] A list storage module is used to store an APP list, wherein the APP list includes a number of APPs and a risk identifier corresponding to each APP;
[0013] The intelligent matching module is used to match the risky APPs in the APP information according to the APP information and the APP list, and the second wireless transmission module is also used to send the detection result to the first wireless transmission module.
[0014] Furthermore, the information acquisition module is also used to acquire device information of the connected smart device, and the first wireless transmission module sends the APP information and device information acquired by the information acquisition module to the cloud platform;
[0015] The cloud platform includes:
[0016] The history module is used to save the previous detection results of the smart device;
[0017] An extraction module, used to extract the last detection result from the history record module according to the device information of the current smart device;
[0018] The intelligent matching module is also used to match the repeated risk APPs matched in both tests according to the current test result and the corresponding last test result.
[0019] Furthermore, the APP list also includes hazard descriptions and hazard cases of risky APPs;
[0020] If the intelligent matching module matches a repeated risk APP that is matched in both detections, the second wireless transmission module sends the detection result to the first wireless transmission module, and the detection result includes a hazard description and hazard case of the repeated risk APP.
[0021] Furthermore, the intelligent matching module is also used to count the APPs that have not been matched in the APP information;
[0022] The cloud platform also includes:
[0023] The APP reporting module is used to report the unmatched APPs counted by the intelligent matching module according to a preset first strategy.
[0024] Furthermore, the cloud platform also includes:
[0025] An updating module is used to update the APP list stored in the list storage module.
[0026] Furthermore, the cloud platform also includes:
[0027] The tracking module is used to set a timer for each unmatched APP after the APP reporting module reports the unmatched APP, and then identify the APP list stored in the list storage module at a predetermined time interval, and count the time period for each unmatched APP to be updated to the APP list.
[0028] Furthermore, the second wireless transmission module is also used to send supplementary detection information to the smart device after each unmatched APP is updated to the APP list, if the updated unmatched APP is risky.
[0029] Furthermore, the cloud platform also includes:
[0030] The early warning module is used to report according to the preset second strategy when the tracking module counts that a certain unmatched APP has not been updated to the APP list for a preset time since the reporting.
[0031] Furthermore, the smart device is a mobile phone.
[0032] The benefit of the present invention is that the provided handheld intelligent identification system can efficiently identify the risks of APPs in the user's mobile phone. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0034] Figure 1 It is a schematic diagram of a handheld intelligent recognition system of the present invention. DETAILED DESCRIPTION
[0035] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0036] like Figure 1 The present application shows a handheld intelligent recognition system, which includes: a cloud platform and a handheld intelligent detection device.
[0037] The handheld intelligent detection device is an intelligent detection tablet device. The handheld intelligent detection device comprises: a connection port, an information acquisition module, a first wireless transmission module and a display module.
[0038] The connection port is used to connect a smart device. In the present application, the smart device is a smart phone. The information acquisition module is connected to the connection port, and is used to obtain the APP information installed in the connected smart device. It is understandable that the information acquisition module can obtain the relevant permissions of the smart device by applying for permissions, so as to obtain the list information of all APPs installed on the connected smart device. The first wireless transmission module is connected to the information acquisition module, and sends the APP information obtained by the information acquisition module to the cloud platform. The cloud platform detects whether there is a risky APP based on the APP information sent by the first wireless transmission module, and returns the detection result to the first wireless transmission module. The display module is connected to the first wireless transmission module for displaying the detection result. The handheld intelligent identification system of the present application can perform risk detection on the APP installed in the smart device connected thereto, thereby improving the safety of use of the smart device.
[0039] In an implementation manner of the present application, the cloud platform includes: a second wireless transmission module, a list storage module and an intelligent matching module.
[0040] The second wireless transmission module is used to perform wireless data transmission with the first wireless transmission module, and the second wireless transmission module receives APP information. The list storage module is used to store the APP list, which contains several APPs and the risk identification corresponding to each APP (whether it is a risky APP). The intelligent matching module is used to match the risky APP in the APP information according to the APP information and the APP list, and the second wireless transmission module is also used to send the detection results to the first wireless transmission module.
[0041] As a preferred implementation, the acquisition module is also used to acquire device information of the connected smart device, and the first wireless transmission module sends the APP information and device information acquired by the acquisition module to the cloud platform. Here, the device information can be a mobile phone number or other identification information.
[0042] The cloud platform also includes: a history module and an extraction module.
[0043] The history module is used to save the previous detection results of the smart device. The extraction module is used to extract the previous detection results from the history module based on the device information of the smart device. The smart matching module can match the repeated risk APPs that were matched in both tests based on the current detection results and the corresponding previous detection results.
[0044] Furthermore, in an embodiment of the present application, the APP list also includes a hazard description and hazard case of the risky APP. If the intelligent matching module matches a repeated risky APP that is matched in both detections, the second wireless transmission module sends the detection result to the first wireless transmission module, and the detection result includes the hazard description and hazard case of the repeated risky APP.
[0045] It is understandable that when the smart device identified some risky apps during the last detection, some of these risky apps still exist in the smart device during the current detection. This shows that the user does not have a full understanding of the hazards of these apps. Therefore, in an embodiment of the present application, when such a situation occurs, the second wireless transmission module will send repeated risky app hazard descriptions and hazard cases together with the detection results, so that users can understand the degree of harm of these risky apps and improve their level of awareness.
[0046] In an embodiment of the present application, the intelligent matching module is also used to count the APPs that have not been matched in the APP information.
[0047] The cloud platform further includes: an APP reporting module. The APP reporting module is used to report the unmatched APPs counted by the intelligent matching module according to a preset first strategy.
[0048] It is understandable that the APP list stored in the list storage module should include all the APPs on the market and their risk conditions as much as possible, so that the risk situation of each APP can be confirmed when matching APP information. However, the development and update of APPs are very fast, and some newly developed risky APPs are likely not covered by the APP list. In this way, when such a newly developed APP is installed in the user's smart device, the risk of the APP will not be identified. In this application, in order to solve such a problem, the APP reporting module will report unknown new APPs discovered during the detection process to the corresponding person in charge or responsible team.
[0049] In the implementation mode of the present application, the cloud platform further includes: an update module
[0050] The update module is used to update the APP list stored in the list storage module. When the risk of a new APP is identified, the APP list is updated.
[0051] In an implementation manner of the present application, the cloud platform further includes: a tracking module.
[0052] The tracking module is used to set a timer for each unmatched APP after the APP reporting module reports the unmatched APP, and then identify the APP list stored in the list storage module at a predetermined time interval to confirm whether it has been updated. The time period for each unmatched APP to be updated to the APP list is counted. In this way, the efficiency of the person in charge or the responsible team in handling new APPs can be measured.
[0053] As a preferred embodiment, the second wireless transmission module is also used to send supplementary detection information to the smart device after each unmatched APP is updated to the APP list, if the updated unmatched APP is risky. It is understandable that the current detection cannot accurately determine the risk of the APP because it contains unknown APPs. Later, when the information of the APP is updated and confirmed to be risky, the supplementary detection information is sent to the user's smart device to remind the user.
[0054] In the implementation manner of the present application, the cloud platform further includes: an early warning module.
[0055] The early warning module is used to report according to the preset second strategy when the tracking module counts that a certain unmatched APP has not been updated to the APP list for a preset time since the reporting.
[0056] It is understandable that when a new APP is reported and not processed for a long time, it is reported according to the preset second strategy. Here, the second strategy is different from the first strategy. It is understandable that the level of the person notified corresponding to the second strategy is higher than the person notified corresponding to the first strategy. In this way, the APP that has not been processed for a long time will receive more attention.
[0057] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the above embodiments do not limit the present invention in any form, and any technical solution obtained by equivalent replacement or equivalent transformation falls within the protection scope of the present invention.
Claims
1. A handheld intelligent recognition system, characterized in that: Includes: cloud platform and handheld intelligent detection device; The handheld intelligent detection device comprises: Connection ports for connecting smart devices; An information acquisition module, connected to the connection port, for acquiring APP information installed in the connected smart device; A first wireless transmission module is connected to the information acquisition module, and sends the APP information acquired by the information acquisition module to the cloud platform. The cloud platform detects whether there is a risky APP based on the APP information sent by the first wireless transmission module, and returns the detection result to the first wireless transmission module; The display module is connected to the first wireless transmission module and is used to display the detection result.
2. The handheld intelligent identification system according to claim 1, characterized in that: The cloud platform includes: A second wireless transmission module, used for performing wireless data transmission with the first wireless transmission module, and the second wireless transmission module receives the APP information; A list storage module is used to store an APP list, wherein the APP list includes a number of APPs and a risk identifier corresponding to each APP; The intelligent matching module is used to match the risky APPs in the APP information according to the APP information and the APP list, and the second wireless transmission module is also used to send the detection result to the first wireless transmission module.
3. The handheld intelligent identification system according to claim 2, characterized in that: The information acquisition module is also used to acquire device information of the connected smart device, and the first wireless transmission module sends the APP information and device information acquired by the information acquisition module to the cloud platform; The cloud platform includes: The history module is used to save the previous detection results of the smart device; An extraction module, used to extract the last detection result from the history record module according to the device information of the current smart device; The intelligent matching module is also used to match the repeated risk APPs matched in both tests according to the current test result and the corresponding last test result.
4. The handheld intelligent identification system according to claim 3, characterized in that: The APP list also includes hazard descriptions and hazard cases of risky APPs; If the intelligent matching module matches a repeated risk APP that is matched in both detections, the second wireless transmission module sends the detection result to the first wireless transmission module, and the detection result includes a hazard description and hazard case of the repeated risk APP.
5. The handheld intelligent identification system according to claim 2, characterized in that: The intelligent matching module is also used to count the APPs that have not been matched in the APP information; The cloud platform also includes: The APP reporting module is used to report the unmatched APPs counted by the intelligent matching module according to a preset first strategy.
6. The handheld intelligent identification system according to claim 5, characterized in that: The cloud platform also includes: An updating module is used to update the APP list stored in the list storage module.
7. The handheld intelligent identification system according to claim 6, characterized in that: The cloud platform also includes: The tracking module is used to set a timer for each unmatched APP after the APP reporting module reports the unmatched APP, and then identify the APP list stored in the list storage module at a predetermined time interval, and count the time period for each unmatched APP to be updated to the APP list.
8. The handheld intelligent identification system according to claim 7, characterized in that: The second wireless transmission module is also used for sending supplementary detection information to the smart device after each unmatched APP is updated into the APP list, if the updated unmatched APP is risky.
9. The handheld intelligent identification system according to claim 7, characterized in that: The cloud platform also includes: The early warning module is used to report according to the preset second strategy when the tracking module counts that a certain unmatched APP has not been updated to the APP list for a preset time since the reporting.
10. The handheld intelligent identification system according to claim 1, characterized in that: The smart device is a mobile phone.
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