CN114205449A - Terminal anti-eavesdropping method, control device, terminal and storage medium - Google Patents
Terminal anti-eavesdropping method, control device, terminal and storage medium Download PDFInfo
- Publication number
- CN114205449A CN114205449A CN202010908481.1A CN202010908481A CN114205449A CN 114205449 A CN114205449 A CN 114205449A CN 202010908481 A CN202010908481 A CN 202010908481A CN 114205449 A CN114205449 A CN 114205449A
- Authority
- CN
- China
- Prior art keywords
- data
- precision
- terminal
- original data
- acceleration sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Telephone Function (AREA)
Abstract
The invention provides a terminal anti-eavesdropping method, a control device, a terminal and a storage medium, wherein the method is applied to a controller of the terminal, the terminal comprises the controller and an acceleration sensor, and original data reported by the acceleration sensor is obtained; performing de-precision processing on the original data to obtain de-precision data; the precision-removing data are sent to the client side which subscribes the data on the terminal, so that the client side obtains the precision-removing data, the problem that the terminal is intercepted due to the fact that the acceleration sensor is too sensitive is effectively avoided, mainstream application of the terminal cannot be influenced, and user experience is improved.
Description
Technical Field
The present invention relates to the field of terminal technologies, and in particular, to a terminal eavesdropping prevention method, a control device, a terminal, and a storage medium.
Background
With the development of terminal technology, more and more Application programs (apps for short) are installed on terminals such as mobile phones and the like, and the apps can acquire vibration signals of sound emitted by a loudspeaker of the mobile phone by using an acceleration sensor built in the mobile phone under the condition that a user does not know and system authorization is not needed, so that the user can eavesdrop the voice of the user.
In the prior art, in order to avoid the problem of eavesdropping on the mobile phone, a mode of closing an acceleration sensor is generally adopted, but the mode can affect some mainstream application modes, such as automatic induction of shaking, horizontal screen and vertical screen switching, remote sensing games and the like.
To sum up, if the mobile phone starts the acceleration sensor, there is a risk of being eavesdropped, and if the acceleration sensor is closed, the mobile phone application will be affected, resulting in a discount of user experience.
Disclosure of Invention
In view of the above problems, the present invention provides a terminal anti-eavesdropping method, a control device, a terminal, and a storage medium.
In a first aspect, the present invention provides a terminal anti-eavesdropping method, applied to a controller of a terminal, where the terminal includes the controller and an acceleration sensor, and the method includes: acquiring original data reported by an acceleration sensor; performing de-precision processing on the original data to obtain de-precision data; and sending the precision-removed data to a client subscribing data on the terminal.
In other optional embodiments, the performing precision removal processing on the raw data to obtain precision-removed data includes: and inputting the original data and the precision into a preset precision removing algorithm model, performing precision removing processing on the original data according to the precision, and outputting the precision removing data.
In other optional embodiments, before performing the de-precision processing on the raw data, the method further includes: acquiring a client identifier of subscription data; judging whether the client side identification is in a white list or not; and if the data is in the white list, sending the original data to a client.
In other optional embodiments, the method further comprises: and if the client identification is not in the white list, executing the step of performing de-precision processing on the original data.
In other alternative embodiments, the raw data comprises x-axis raw data, y-axis raw data, and z-axis raw data; the precision removing processing is performed on the original data to obtain precision removed data, and the precision removed data comprises: and respectively carrying out precision removal processing on the x-axis original data, the y-axis original data and the z-axis original data to obtain x-axis precision removal data, y-axis precision removal data and z-axis precision removal data.
In other optional embodiments, the method further comprises: receiving an adding instruction input by a user; and adding the client identification into the white list according to the adding instruction.
In other alternative embodiments, the accuracy is determined based on the terminal type.
In a second aspect, the present invention provides a control apparatus comprising: the acquisition module is used for acquiring the original data reported by the acceleration sensor; the processing module is used for performing de-precision processing on the original data to obtain de-precision data; and the sending module is used for sending the precision-removed data to a client subscribing data on the terminal.
In a third aspect, the present invention provides a terminal comprising a controller and an acceleration sensor; the acceleration sensor is used for acquiring raw data generated by a terminal and reporting the raw data to the controller so that the controller can execute the terminal anti-eavesdropping method according to any one of the first aspect.
In a fourth aspect, the present invention provides a storage medium containing computer-executable instructions for performing the method of any one of the first aspect when executed by a computer processor.
The invention provides a terminal anti-eavesdropping method, a control device, a terminal and a storage medium, wherein the method is applied to a controller of the terminal, the terminal comprises the controller and an acceleration sensor, and original data reported by the acceleration sensor is obtained; performing de-precision processing on the original data to obtain de-precision data; the precision-removing data are sent to the client side which subscribes the data on the terminal, so that the client side obtains the precision-removing data, the problem that the terminal is intercepted due to the fact that the acceleration sensor is too sensitive is effectively avoided, mainstream application of the terminal cannot be influenced, and user experience is improved.
Drawings
FIG. 1 is a schematic flow chart of a prior art voice eavesdropping attack using a mobile phone accelerometer;
fig. 2 is a schematic structural diagram of a terminal on which the present invention is based;
fig. 3 is a schematic flow chart of a terminal anti-eavesdropping method provided by the invention;
FIG. 4 is a coordinate system representation method of a Round function provided by the present invention;
fig. 5 is a schematic data diagram of an acceleration sensor of a mobile phone according to the present invention;
FIG. 6 is a schematic flow chart of another anti-eavesdropping method for a terminal according to the present invention;
FIG. 7 is a layered structure of an android terminal provided by the present invention;
FIG. 8 is a schematic diagram illustrating a process for de-precisioning acceleration sensor data according to the present invention;
fig. 9 is a schematic structural diagram of a control device provided in the present invention;
fig. 10 is a schematic diagram of a hardware structure of a control device according to the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
The terms to which the present invention relates will be explained first:
an accelerometer: the built-in acceleration sensor of the mobile phone is a sensor for detecting the movement of the mobile phone, and is commonly used for any measurement related to the movement of the mobile phone, such as step counting, speed measurement, mobile phone posture measurement and the like. Specifically, the acceleration sensor is a necessary device of the current terminal, acceleration data in three directions can be provided for mobile phone applications, the data can be combined with some Artificial Intelligence (AI) algorithms to identify user behaviors, the terminal can be combined with the behaviors to realize specific functions, user experience can be improved, for example, the identified walking behavior provides a function of a pedometer, the behavior that the user lifts up the mobile phone is identified when the terminal is on the screen, face recognition is started, and the experience of face recognition can be improved.
In general cognition of people, a mobile phone accelerometer cannot easily obtain or infer sensitive personal information like a microphone, a camera and a geographical position, so that various apps installed on a mobile phone call the reading of the mobile phone accelerometer or acquire corresponding authorities almost cannot encounter any resistance, that is, an attack initiated through the mobile phone accelerometer is not only hidden but also legal.
Fig. 1 is a schematic diagram illustrating a process of performing a voice eavesdropping attack by using an accelerometer of a mobile phone in the prior art, as shown in fig. 1, because a speaker and an accelerometer in the mobile phone are installed on the same motherboard and are very close to each other in distance, a reading of the accelerometer can be significantly affected by vibration generated when the speaker plays sound, and after the accelerometer collects a vibration signal, an attacker can further identify and even restore the sound signal played by the mobile phone.
In the prior art, in order to avoid the problem of eavesdropping on the mobile phone, a mode of closing an acceleration sensor is usually adopted, but this may affect some mainstream application modes, such as automatic induction for switching between shaking and shaking, horizontal screen and vertical screen, remote sensing games, and the like.
In summary, if the terminal turns on the acceleration sensor, there is a risk of being eavesdropped, and if the acceleration sensor is turned off, some mainstream applications of the mobile phone are affected, thereby resulting in a great discount on user experience.
Aiming at the problem, the technical idea of the invention is as follows: the data acquired by the acceleration sensor is subjected to precision removing processing, and the precision-removed data is reported to the mobile phone application, so that the voice of a user is prevented from being intercepted, and the mainstream application of the mobile phone is not influenced.
Fig. 2 is a schematic structural diagram of a terminal on which the present invention is based, and as shown in fig. 2, one of the terminals on which the present invention is based may include a controller 1 and an acceleration sensor 2, where the acceleration sensor is configured to acquire raw data generated by the terminal and send the raw data to the controller 1, so that the controller 1 can perform a terminal anti-eavesdropping method described in the following embodiments.
In a first aspect, an embodiment of the present invention provides a terminal anti-eavesdropping method, and fig. 3 is a schematic flow chart of the terminal anti-eavesdropping method provided by the present invention.
As shown in fig. 3, the terminal anti-eavesdropping method includes:
Specifically, when the user makes a voice call or plays music, the speaker of the mobile phone vibrates, and the reading of the acceleration sensor built in the mobile phone, that is, the raw data, is further influenced, and the raw data is reported to the execution main body of the embodiment, such as the controller 1 shown in fig. 2, and the reporting mode is not limited.
And 102, performing de-precision processing on the original data to obtain de-precision data.
Specifically, after the controller acquires the raw data, the raw data is subjected to de-precision processing. Preferably, one implementation of step 102 is as follows:
and inputting the original data and the precision into a preset precision removing algorithm model, performing precision removing processing on the original data according to the precision, and outputting the precision removing data.
Specifically, the precision can be set by user-defined according to user requirements, and the original data can be subjected to de-precision processing according to the precision.
Optionally, the preset precision-removing algorithm model may be a rounded function, as shown in formula (1):
wherein, x represents the original value, acc represents the precision, and [ ] is the integer function, i.e. the fractional part value in [ ] is removed. For example, with the function coordinate axis of the numerical value thus obtained, the acc can be extended to an arbitrary positive number, for rounding of integer digits when acc takes 1, for rounding with an accuracy of 0.1 when acc takes 0.1, and so on. Fig. 4 is a method for representing a coordinate system of a Round function according to the present invention, where as shown in fig. 4, the output data is an integer multiple of precision with the smallest absolute value of the subtraction between the input data and the output data, and when both absolute values are the smallest values, the larger value is taken as the output value.
Preferably, the accuracy is determined according to the type of the terminal. Specifically, for terminals of different models, due to differences in hardware design, the change that may be generated by the speaker to the value of the acceleration sensor is different, so in this embodiment, different precision configuration schemes are provided for different terminal types, optionally, the precision may be prestored in the terminal system attribute value, and the system attribute value may be specified when the terminal is powered on, or reset through the terminal interface. Therefore, when the acceleration sensor reports the original data, the precision value in the system attribute is obtained, and the precision removing processing is carried out according to the precision value.
In addition, when the precision value is 0, it indicates that precision removal processing is not performed, and the original data may be directly sent to the client.
Optionally, the raw data includes x-axis raw data, y-axis raw data, and z-axis raw data; one implementation of the step 102 is as follows: and respectively carrying out precision removal processing on the x-axis original data, the y-axis original data and the z-axis original data to obtain x-axis precision removal data, y-axis precision removal data and z-axis precision removal data.
Specifically, fig. 5 is a data schematic diagram of the mobile phone acceleration sensor provided by the present invention, as shown in fig. 5, the acceleration may obtain the original data (x, y, z) in the three directions x, y, and z, and then the original data in the directions x, y, and z may be subjected to de-precision processing by using a de-precision algorithm shown in formula (1), so as to obtain de-precision data (x ', y ', z ').
And 103, sending the precision-removed data to a client subscribing data on the terminal.
Specifically, after the de-precision data is obtained, the de-precision data can be sent to the client, so that an attacker cannot eavesdrop the voice of the user by using the client, and mainstream applications such as shaking of the mobile phone are not influenced.
The terminal anti-eavesdropping method provided by the embodiment of the invention is applied to a controller of a terminal, wherein the terminal comprises the controller and an acceleration sensor and is used for acquiring original data reported by the acceleration sensor; performing de-precision processing on the original data to obtain de-precision data; the precision-removing data are sent to the client side which subscribes the data on the terminal, so that the client side obtains the precision-removing data, the problem that the terminal is intercepted due to the fact that the acceleration sensor is too sensitive is effectively avoided, mainstream application of the terminal cannot be influenced, and user experience is improved.
With reference to the foregoing implementation manners, fig. 6 is a schematic flow chart of another terminal anti-eavesdropping method provided by the present invention, and as shown in fig. 6, the terminal anti-eavesdropping method includes:
If yes, go to step 204 and end; if not, go to step 205.
And step 204, sending the original data to a client. And (6) ending.
And 205, performing de-precision processing on the original data to obtain de-precision data.
And step 206, sending the precision-removed data to a client subscribing data on the terminal. And (6) ending.
Different from the foregoing embodiment, in this embodiment, it is considered that some apps on the terminal may have a need to acquire high-precision acceleration sensor data, and therefore, in this embodiment, a client identifier of subscription data is acquired; judging whether the client side identification is in a white list or not; if the data is in the white list, the original data is sent to a client; if the original data is not in the white list, performing de-precision processing on the original data to obtain de-precision data; and sending the precision-removed data to a client subscribing data on the terminal.
Specifically, whether a client subscribing to data is in a white list or not is judged, if the client needs to acquire high-precision acceleration sensor data, the raw data does not need to be subjected to de-precision processing, but is directly sent to the client, and if the client does not exist in the white list, the client does not need to be subjected to the de-precision processing, and the processed data is sent to the client.
As an optional embodiment, the method further comprises: receiving an adding instruction input by a user; and adding the client identification into the white list according to the adding instruction. Specifically, whether the client is in the white list or not can be set according to the needs of the user.
Fig. 7 is a hierarchical structure of an android terminal provided by the present invention, and as shown in fig. 7, the hierarchical structure of the android terminal includes:
application: the application layer can acquire the acceleration sensor data so as to perform necessary pattern recognition, namely, a place where an attacker can achieve the purpose of eavesdropping.
Sensor Manager: the sensor management component belongs to a Framework (Framework) layer, provides a JAVA interface and provides a related interface for an APP layer.
Sensor JNI: and the Framework layer and a local service (Native) layer realize the calling of JAVA to the C interface.
Sensor Manager: and a C interface provided by a Native layer.
Sensor Service: and the related services of the sensors provide management of each sensor and report of data.
Sensor HAL: the packaged C interface comprises logic processing of the sensor drive in the kernel.
Accelerometer Driver: the acceleration sensor is driven in relation to the drive.
I2C driver, I2C Controller: an I2C communication interface between the operating system and the sensors is provided.
Accelerometer: an acceleration sensor.
It can be seen that this is a linear structure from top to bottom, taking Sensor Service as an example, the Sensor Service can acquire the data reported by the acceleration Sensor and report the data to the upper layer (Framework layer and Application).
Fig. 8 is a schematic view of a process flow for de-precisioning acceleration sensor data according to the present invention. Referring to fig. 7 and 8, the embodiment of the present invention is further described, where the Sensor Service may perform de-precision processing, and as shown in fig. 8, the Sensor Service layer performs de-precision processing on the raw data (x, y, z) reported by the bottom layer, respectively, to obtain (x ', y', z '), and reports (x', y ', z') to the App layer.
It should be noted that, when the mobile phone is in a static state and a music playing state, the acceleration data after the precision removal processing can shield the slight vibrations, but for some relatively large actions such as picking up the mobile phone, rotating the mobile phone, shaking one, and the like, after the precision removal processing, data change models are almost overlapped, and it can be considered that the mode recognition of such scenes is not influenced, that is, the embodiment of the present invention does not influence the use of some mainstream applications under the condition of meeting the anti-eavesdropping condition.
On the basis of the foregoing embodiment, by acquiring a client identifier of subscription data; judging whether the client side identification is in a white list or not; if the data is in the white list, the original data is sent to a client; if the original data is not in the white list, performing de-precision processing on the original data to obtain de-precision data; and sending the precision-removing data to the client subscribing data on the terminal, so that the requirement of some clients for obtaining high-precision acceleration sensor data is met, and the user experience is improved.
In a second aspect, an embodiment of the present invention provides a control apparatus, and fig. 9 is a schematic structural diagram of the control apparatus provided in the present invention, as shown in fig. 9, the control apparatus includes:
the acquisition module 10 is used for acquiring the original data reported by the acceleration sensor; the processing module 20 is configured to perform de-precision processing on the original data to obtain de-precision data; and the sending module 30 is configured to send the precision-removed data to a client subscribing to data on a terminal.
In other optional embodiments, the processing module 20 is specifically configured to: and inputting the original data and the precision into a preset precision removing algorithm model, performing precision removing processing on the original data according to the precision, and outputting the precision removing data.
In other optional embodiments, the apparatus further comprises a determining module 40, where the determining module 40 is configured to: acquiring a client identifier of subscription data; judging whether the client side identification is in a white list or not; if the data is in the white list, the sending module 30 is configured to send the original data to the client.
In other optional embodiments, when the determining module 40 determines that the client identifier is not in the white list, the processing module 20 performs the step of performing the de-precision processing on the raw data. In other optional embodiments, the raw data includes x-axis raw data, y-axis raw data, and z-axis raw data, and the processing module 20 is specifically configured to: and respectively carrying out precision removal processing on the x-axis original data, the y-axis original data and the z-axis original data to obtain x-axis precision removal data, y-axis precision removal data and z-axis precision removal data.
In other optional embodiments, the determining module 40 is further configured to: receiving an adding instruction input by a user; and adding the client identification into the white list according to the adding instruction.
In other alternative embodiments, the accuracy is determined based on the terminal type.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and corresponding beneficial effects of the control device described above may refer to the corresponding process in the foregoing method embodiment, and are not described herein again.
The control device provided by the embodiment of the invention is used for acquiring the original data reported by the acceleration sensor through the acquisition module; the processing module is used for performing de-precision processing on the original data to obtain de-precision data; the sending module is used for sending the precision-removed data to a client subscribing data on the terminal, so that the precision-removed data is acquired by the client subscribing the data, the precision-removed data is acquired by the client, the problem that the terminal is eavesdropped due to the fact that an acceleration sensor is too sensitive is effectively avoided, mainstream application of the terminal cannot be influenced, and user experience is improved.
Fig. 10 is a schematic diagram of a hardware structure of a control device provided in the present invention, as shown in fig. 10, including:
at least one processor 1001 and memory 1002.
In a specific implementation process, the at least one processor 1001 executes computer-executable instructions stored in the memory 1002, so that the at least one processor 1001 executes the terminal anti-eavesdropping method, where the processor 1001 and the memory 1002 are connected through the bus 1003.
For a specific implementation process of the processor 1001, reference may be made to the above method embodiments, which have similar implementation principles and technical effects, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 10, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In a third aspect, the present invention provides a terminal, which can be referred to in fig. 1, and includes a controller 1 and an acceleration sensor 2; the acceleration sensor 2 is configured to collect raw data generated by a terminal, and report the raw data to the controller 1, so that the controller 1 executes the terminal anti-eavesdropping method according to any one of the first aspect.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and the corresponding beneficial effects of the terminal described above may refer to the corresponding process in the foregoing method embodiment, and are not described herein again.
In a fourth aspect, the present invention further provides a readable storage medium, where a computer executing instruction is stored, and when a processor executes the computer executing instruction, the method for controlling the above service downloading is implemented.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A terminal anti-eavesdropping method, applied to a controller of a terminal, the terminal including the controller and an acceleration sensor, the method comprising:
acquiring original data reported by an acceleration sensor;
performing de-precision processing on the original data to obtain de-precision data;
and sending the precision-removed data to a client subscribing data on the terminal.
2. The method of claim 1, wherein the de-refining the raw data to obtain de-refined data comprises:
and inputting the original data and the precision into a preset precision removing algorithm model, performing precision removing processing on the original data according to the precision, and outputting the precision removing data.
3. The method according to claim 1 or 2, wherein before the de-precisioning the raw data, the method further comprises:
acquiring a client identifier of subscription data;
judging whether the client side identification is in a white list or not;
and if the data is in the white list, sending the original data to a client.
4. The method of claim 3, further comprising: and if the client identification is not in the white list, executing the step of performing de-precision processing on the original data.
5. The method of claim 1 or 2, wherein the raw data comprises x-axis raw data, y-axis raw data, z-axis raw data;
the precision removing processing is performed on the original data to obtain precision removed data, and the precision removed data comprises:
and respectively carrying out precision removal processing on the x-axis original data, the y-axis original data and the z-axis original data to obtain x-axis precision removal data, y-axis precision removal data and z-axis precision removal data.
6. The method of claim 3, further comprising:
receiving an adding instruction input by a user;
and adding the client identification into the white list according to the adding instruction.
7. The method of claim 2, wherein the accuracy is determined based on a terminal type.
8. A control apparatus, characterized by comprising:
the acquisition module is used for acquiring the original data reported by the acceleration sensor;
the processing module is used for performing de-precision processing on the original data to obtain de-precision data;
and the sending module is used for sending the precision-removed data to a client subscribing data on the terminal.
9. A terminal, characterized in that the terminal comprises a controller and an acceleration sensor;
the acceleration sensor is used for collecting raw data generated by a terminal and reporting the raw data to the controller so that the controller can execute the terminal anti-eavesdropping method according to any one of claims 1 to 7.
10. A storage medium containing computer-executable instructions for performing the method of any one of claims 1-7 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010908481.1A CN114205449B (en) | 2020-09-02 | 2020-09-02 | Terminal anti-eavesdropping method, control device, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010908481.1A CN114205449B (en) | 2020-09-02 | 2020-09-02 | Terminal anti-eavesdropping method, control device, terminal and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114205449A true CN114205449A (en) | 2022-03-18 |
| CN114205449B CN114205449B (en) | 2023-06-16 |
Family
ID=80644274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010908481.1A Active CN114205449B (en) | 2020-09-02 | 2020-09-02 | Terminal anti-eavesdropping method, control device, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114205449B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140333544A1 (en) * | 2013-05-10 | 2014-11-13 | Research In Motion Limited | Methods and devices for touchscreen eavesdropping prevention |
| WO2017197554A1 (en) * | 2016-05-16 | 2017-11-23 | Intellectual Ventures Hong Kong Limited | Mitigation of sensor-based covert channels in mobile devices |
| CN111178005A (en) * | 2019-12-11 | 2020-05-19 | 中国建设银行股份有限公司 | Data processing system, method and storage medium |
| CN111294367A (en) * | 2020-05-14 | 2020-06-16 | 腾讯科技（深圳）有限公司 | Audio signal post-processing method and device, storage medium and electronic equipment |
| CN111488985A (en) * | 2020-04-08 | 2020-08-04 | 华南理工大学 | Deep neural network model compression training method, device, equipment and medium |
| CN111614829A (en) * | 2020-05-21 | 2020-09-01 | 维沃移动通信有限公司 | Electronic equipment and anti-eavesdropping method |
-
2020
- 2020-09-02 CN CN202010908481.1A patent/CN114205449B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140333544A1 (en) * | 2013-05-10 | 2014-11-13 | Research In Motion Limited | Methods and devices for touchscreen eavesdropping prevention |
| WO2017197554A1 (en) * | 2016-05-16 | 2017-11-23 | Intellectual Ventures Hong Kong Limited | Mitigation of sensor-based covert channels in mobile devices |
| CN111178005A (en) * | 2019-12-11 | 2020-05-19 | 中国建设银行股份有限公司 | Data processing system, method and storage medium |
| CN111488985A (en) * | 2020-04-08 | 2020-08-04 | 华南理工大学 | Deep neural network model compression training method, device, equipment and medium |
| CN111294367A (en) * | 2020-05-14 | 2020-06-16 | 腾讯科技（深圳）有限公司 | Audio signal post-processing method and device, storage medium and electronic equipment |
| CN111614829A (en) * | 2020-05-21 | 2020-09-01 | 维沃移动通信有限公司 | Electronic equipment and anti-eavesdropping method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114205449B (en) | 2023-06-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108091333A (en) | Sound control method and Related product | |
| CN111338910B (en) | Log data processing method, log data display method, log data processing device, log data display device, log data processing equipment and log data storage medium | |
| CN115718913B (en) | User identity recognition method and electronic equipment | |
| CN111738365B (en) | Image classification model training method and device, computer equipment and storage medium | |
| CN111818050A (en) | Target access behavior detection method, system, device, equipment and storage medium | |
| CN115687035A (en) | Memory leak detection method and electronic equipment | |
| CN109684123B (en) | Problem resource positioning method, device, terminal and storage medium | |
| CN112423176A (en) | Earphone noise reduction method and device, storage medium and noise reduction earphone | |
| CN113778255B (en) | Touch recognition method and device | |
| CN114205449B (en) | Terminal anti-eavesdropping method, control device, terminal and storage medium | |
| CN110825465B (en) | Log data processing method and device, electronic equipment and storage medium | |
| CN108132817B (en) | Object management method and device | |
| CN104391742B (en) | Optimizing application method and apparatus | |
| CN112214194B (en) | Volume adjustment method, volume adjustment device, electronic equipment and computer readable storage medium | |
| CN112597417B (en) | Page updating method and device, electronic equipment and storage medium | |
| US11947709B2 (en) | Electronic device for controlling access to device resource and operation method thereof | |
| CN111698512B (en) | Video processing method, device, equipment and storage medium | |
| TW201905753A (en) | Account management method and device | |
| CN111028846B (en) | Method and device for registration of wake-up-free words | |
| CN112329909B (en) | Method, apparatus and storage medium for generating neural network model | |
| CN108763908B (en) | Behavior vector generation method, device, terminal and storage medium | |
| CN112534409A (en) | Electronic device and operation method thereof | |
| CN109634862B (en) | Application analysis method, device and storage medium | |
| CN110688519B (en) | Method, device, system, equipment and storage medium for playing media data | |
| CN116886460A (en) | Control method and device of electronic equipment, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |