CN117135365A - An anti-peeping method and device based on scrambled coding of image pixel values - Google Patents

Abstract

The present disclosure relates to an anti-peep photography method and device based on scrambled coding of image pixel values. The method includes: the virtual machine establishes a connection with the zero terminal; the virtual machine receives the user image data sent by the zero terminal, and determines whether a peeping event occurs based on the user image data; if a peeping event occurs, the virtual machine pixels the desktop image Values are shuffled to obtain image data; the virtual machine sends the image data to the zero terminal. After the zero terminal of the present disclosure establishes a connection with the virtual terminal, the virtual terminal encodes the desktop image normally and sends it to the zero terminal. At the same time, the zero terminal performs anti-peeping monitoring; when a spying event is discovered, the zero terminal encodes the desktop image out of order. After sending, the zero terminal decodes and obtains a garbled image; when the snooping event is eliminated, the virtual terminal re-encodes and sends the desktop image normally, and the zero terminal decodes and obtains a normal desktop image, thereby preventing information leakage.

Description

An anti-peeping method and device based on scrambled coding of image pixel values

Technical field

Embodiments of the present disclosure relate to the technical field of information security protection, and in particular, to an anti-peeping method and device based on scrambled coding of image pixel values.

Background technique

Among related technologies, the cloud office zero-terminal system has been widely used in special industries with high confidentiality due to its high security. Its high security is reflected in the fact that there is no local data storage for users, all data sources and video images come from images in the cloud, and users' watermarks can be added to images in the cloud, thus ensuring that data cannot be easily leaked. However, this method still cannot solve the data leakage caused by human peeping on the display end.

For cloud desktop users, even if they can avoid leaking secrets, they cannot prevent others from intercepting data through the network and restoring the data to form an image for display.

Therefore, it is necessary to provide a new technical solution to improve one or more problems existing in the above solution.

It should be noted that the information disclosed in the above background section is only used to enhance understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to those of ordinary skill in the art.

Contents of the invention

The purpose of the embodiments of the present disclosure is to provide an anti-peep photography method and device based on out-of-order coding of image pixel values, thereby overcoming one or more problems caused by limitations and defects of related technologies, at least to a certain extent.

According to a first aspect of an embodiment of the present disclosure, an anti-peeping method based on scrambled coding of image pixel values is provided. The method includes:

The virtual machine establishes a connection with the zero terminal;

The virtual machine receives the user image data sent by the zero terminal, and determines whether a peeping event occurs based on the user image data;

If the peeking event occurs, the virtual machine performs random encoding of pixel values on the desktop image to obtain image data;

The virtual machine sends the image data to the zero terminal.

In an embodiment of the present disclosure, the method further includes:

If the peek event does not occur, the virtual machine encodes the desktop image normally to obtain image data.

In an embodiment of the present disclosure, the step of determining whether a spying event occurs based on the use of user image data includes:

The zero terminal identifies the user image data and determines the number of currently identified users;

If the user is not detected, it is determined that a spying event has occurred;

If one or more users are detected, subsequent judgment will be made.

In an embodiment of the present disclosure, if one or more users are detected, the step of making subsequent judgments includes:

If one of the users is detected, determine whether the user is a legal user based on the legal user image data;

If not, it is judged that a voyeurism event has occurred;

If so, continue to determine whether the legitimate user's actions are suspicious. If so, it is determined that a spying event has occurred.

In an embodiment of the present disclosure, if one or more users are detected, the step of making subsequent judgments also includes:

If multiple users are detected, determine whether the legal users are included among the multiple users;

If it is not included, it is judged that a peeping incident has occurred;

If included, continue to determine whether the actions of the legitimate user and the remaining users are suspicious. If they are suspicious, it is determined that a spying event has occurred.

In an embodiment of the present disclosure, the virtual machine performs random encoding of pixel values on the desktop image to obtain the image data, including:

Create a new pixel matrix based on the pixel matrix of the desktop image;

The pixel values of the desktop image are marked, and the order of the pixel values of the desktop image is scrambled and stored in the new pixel matrix to complete the pixel value scrambled encoding.

According to a second aspect of the embodiment of the present disclosure, a method for preventing privacy shots based on scrambled coding of image pixel values is provided. The method includes:

Zero terminal establishes connection with virtual machine;

The zero terminal collects the user image data of the current user and sends it to the virtual terminal;

The zero terminal receives image data and parses the image data to display a desktop image.

According to a third aspect of the embodiment of the present disclosure, an anti-peeping device based on scrambled coding of image pixel values is provided. The device includes:

The first connection module is used to establish a connection between the virtual machine and the zero terminal;

A judgment module, configured for the virtual machine to receive the user image data sent by the zero terminal, and determine whether a peeping event occurs based on the user image data;

The first encoding module is used to, if the peek event occurs, the virtual machine performs random encoding of pixel values on the desktop image to obtain image data;

A sending module, configured for the virtual machine to send the image data to a zero terminal.

In an embodiment of the present disclosure, the device further includes:

The second encoding module is used to perform normal encoding on the desktop image by the virtual machine to obtain image data if the peeking event does not occur.

According to a fourth aspect of the embodiment of the present disclosure, an anti-peeping device based on scrambled coding of image pixel values is provided. The device includes:

The second connection module is used to establish a connection between the zero terminal and the virtual machine;

The user image collection module is used by the zero terminal to collect the user image data of the current user and send it to the virtual terminal;

A parsing module is used for the zero terminal to receive image data and parse the image data to display a desktop image.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

In embodiments of the present disclosure, through the above-mentioned anti-peep shooting method and device based on scrambled encoding of image pixel values, after the zero terminal establishes a connection with the virtual terminal, the virtual terminal encodes the desktop image normally and sends it to the zero terminal. At the same time, the zero terminal performs Anti-peeping monitoring; when a peeping incident is discovered, the zero terminal encodes and sends the desktop image out of order, and the zero terminal decodes it to obtain the garbled image; when the peeping incident is eliminated, the virtual terminal re-encodes and sends the desktop image normally, and the zero terminal After decoding, a normal desktop image is obtained, thereby preventing information leakage.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of the drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 shows a step diagram of an anti-peeping method based on scrambled coding of image pixel values in an exemplary embodiment of the present disclosure;

Figure 2 shows a flowchart of a method for determining whether a spying event occurs in an exemplary embodiment of the present disclosure;

Figure 3 schematically shows a step diagram of another anti-peeping method based on scrambled encoding of image pixel values in an exemplary embodiment of the present disclosure;

Figure 4 schematically illustrates a flow chart of an anti-peeping method based on video image out-of-order coding in an exemplary embodiment of the present disclosure;

Figure 5 schematically shows a schematic diagram of an anti-peep shot based on scrambled encoding of image pixel values in an exemplary embodiment of the present disclosure;

Figure 6 schematically illustrates another schematic diagram of anti-peep photography based on scrambled encoding of image pixel values in an exemplary embodiment of the present disclosure;

Figure 7 schematically shows a schematic diagram of a program product in an exemplary embodiment of the present disclosure;

FIG. 8 schematically shows a schematic diagram of an electronic device in an exemplary embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concepts of the example embodiments. To those skilled in the art. The described features, structures or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices.

This example implementation first provides an anti-peeping method based on scrambled coding of image pixel values. This method can be applied to a terminal device with a display screen, such as a mobile phone, personal digital assistant, notebook computer, or tablet computer. , mobile terminals such as smart watches, or non-mobile terminals such as desktop computers and smart TVs. Referring to what is shown in Figure 1, the method may include: steps S101 to S104.

Step S101: The virtual machine establishes a connection with the zero terminal;

Step S102: The virtual machine receives the user image data sent by the zero terminal, and determines whether a spying event occurs based on the user image data;

Step S103: If the peeking event occurs, the virtual machine performs random encoding of pixel values on the desktop image to obtain image data;

Step S104: The virtual machine sends the image data to the zero terminal.

Through the above-mentioned anti-peeping method based on scrambled encoding of image pixel values, after the zero terminal establishes a connection with the virtual terminal, the virtual terminal encodes the desktop image normally and sends it to the zero terminal. At the same time, the zero terminal performs anti-peeping monitoring; when a spy is found When the shooting event occurs, the zero terminal encodes and sends the desktop image out of sequence, and the zero terminal decodes it and obtains the garbled image; when the spying event is eliminated, the virtual terminal re-encodes and sends the desktop image normally, and the zero terminal decodes it and obtains the normal desktop image, thus preventing information leaked.

Each step of the above method in this exemplary embodiment will be described in more detail below with reference to FIGS. 1 to 2 .

In step S101, the zero terminal logs in to the virtual machine with the correct account and password to establish a connection between the virtual machine and the zero terminal.

In step S102, after the virtual machine and the zero terminal establish a connection, the currently used user image data needs to be compared with the legal user image data to ensure that the currently used user is a legal user.

Before a legitimate user uses a smart terminal (zero terminal), the camera first collects the image of the legitimate user sitting in front of the screen when using the zero terminal. The collected image is used as a reference image for subsequent image comparison; on the one hand, it can be The face identified in the current user image data is used as a reference face in subsequent face recognition. On the other hand, the real-time user image data can be compared with the image data of legitimate users in the future to determine the user. Whether the usage status has changed.

In order to ensure that the user in the user usage image collected in this step is a legal user of the current smart zero terminal, before collecting the image, the legitimacy of the current user needs to be verified through other authentication methods.

In steps S103 and S104, while the user is using the smart zero terminal, the camera continuously collects images of the user according to a preset cycle. This cycle can be set according to actual needs, and is not limited here.

In addition, determining whether suspicious usage occurs includes but is not limited to: determining whether the user is a legitimate user, whether the legitimate user leaves the seat, whether anyone other than the legitimate user is watching the screen image, whether other people are taking photos secretly, etc.

The above-mentioned judgment of whether a screen snooping event occurs is implemented by the AI (Artificial Intelligence, artificial intelligence) module, and the judgment result of the AI module will be used as a judgment condition for whether to initiate an anti-peeping event. In actual implementation, the AI module can use a variety of methods to determine whether suspicious spying events have occurred. Among them, the AI module is not the focus of this application, and the working principle of the AI module is an existing technology, and its specific principles will not be described in detail here.

When the AI recognition module of the VGTP-R end (zero terminal) detects a suspicious snooping event, it directly starts the anti-snooping process, including: decoding the out-of-order encoded image macroblocks received from the VGTP-S end. , arrange directly according to the decoding order to obtain the final display image. In this way, by not restoring the order of the scrambled macroblocks, the macroblocks in the obtained whole frame image are arranged in the scrambled order. That is to say, for the image frame obtained in this way, , the information in the entire frame is chaotic. Therefore, even if the suspected peeping user successfully implements the peeping behavior, effective information cannot be obtained, thereby ensuring the security of user information.

In one embodiment, the method further includes: if the peek event does not occur, the virtual machine performs normal encoding on the desktop image to obtain image data.

Specifically, the VGTP-R smart terminal receives the encoded image, restores the original video image through decoding, and displays the decoded source video image on the screen. Specifically, it includes the following steps:

After the receiving end (zero terminal) receives the transmitted garbled image data, it first analyzes the image data to obtain the image data, and then obtains the desktop image.

It is understandable that in order to better protect privacy security, you can consider adding authentication mechanisms, digital watermarks and other technologies during the decoding process.

In one embodiment, the step of determining whether a peeping event occurs based on the user image data includes: the zero terminal identifies the user image data, and determines the identity of the identified current user. number; if the user is not detected, it is determined that a spying event occurs; if one or more users are detected, subsequent determination is made.

Specifically, when the AI module receives the current user's usage image, it performs face recognition on the current user's usage image; compares the recognized face image with the legal user's face image pre-stored in the system. Yes, determine whether there is a suspicious spying incident. The AI module performs face recognition on the currently received user images; the AI module determines the number of recognized faces; and makes subsequent judgments based on the recognition results to determine whether there is a suspicious peeping incident. Among them, if no face is detected, it is considered that the legitimate user has left the seat. At this time, the anti-peeping event is directly initiated (that is, it is determined that a peeping event has occurred).

In one embodiment, if one or more users are detected, the step of making subsequent judgments includes: if one user is detected, judging whether the user is based on legal user image data. is a legitimate user; if not, it is determined that a spying event has occurred; if yes, it is continued to determine whether the legitimate user's action is suspicious; if it is suspicious, it is determined that a spying event has occurred.

If multiple users are detected, it is determined whether the legal user is included among the multiple users; if not, it is determined that a spying event has occurred; if it is included, it is continued to determine whether the legal user and Are the actions of the remaining users suspicious? If so, it is determined that a spying incident has occurred.

Specifically, as shown in Figure 2, if a face is detected, the face is first compared with the locally stored face of a legal user. If they are not the same, it is determined that the current user is not a legal user, and the user is directly Start the anti-peeping process. If they are the same, continue to determine whether the current user has suspicious actions similar to taking pictures. If so, start the anti-peeping process; otherwise, no processing is performed and the subsequent identification process continues.

If multiple faces are detected, first determine whether they include the face of a legitimate user. If not, directly start the anti-peeping process. If so, continue to determine whether any of the people appearing in the current user's image are Someone has made suspicious actions similar to taking pictures. If so, the anti-peeping process will be started; if not, no processing will be performed and the subsequent identification process will continue.

In one embodiment, the step of the virtual machine encoding the pixel values of the desktop image out of order to obtain the image data includes: establishing a new pixel matrix according to the pixel matrix of the desktop image; The pixel values are marked, and the order of the pixel values of the desktop image is scrambled and saved into the new pixel matrix, so as to complete the scrambled encoding of the pixel values.

Specifically, the pixel value disordering algorithm process is as follows: The VGTP-S side uses mathematics or other fields of technology to transform the image and turn it into a messy image for transmission. It is to disrupt the order of the pixel values of the image. First, create an empty pixel matrix based on the pixel matrix of the collected image, then mark each pixel value of the collected image, and determine the coordinates of other pixels based on the coordinates of the a pixel. , then move the a pixel to the b pixel position, move the b pixel to the c pixel position,..., and so on, save it to the newly created pixel matrix, and the pixel reordering ends.

The coordinate relationship between a pixel and b pixel can be as follows:

1) The a pixel and the b pixel are two adjacent pixels on the left and right;

2) The a pixel and the b pixel are two pixels spaced left and right (one or more);

3) The a pixel and the b pixel are two adjacent pixels above and below;

4) The a pixel and the b pixel are two pixels spaced up and down (one or more);

5) Pixel a and pixel b are two diagonally adjacent pixels;

6) The a pixel and the b pixel are two pixels spaced diagonally (one or more);

7) The a pixel and the b pixel are two random pixels in the image;

The edge pixel movement methods can be as follows:

1) Move by row, the last one in the row is moved to the first one in the next row;

2) Move by column, the last one in the column is moved to the first one in the next column;

3) Move in a diagonal direction, the last one in this diagonal direction moves to the first one in the next diagonal direction;

4) Random movement does not involve edge pixels, and the last pixel moves to the position of a pixel;

The same or different out-of-order methods are repeated multiple times to transform them into messy and difficult-to-recognize pictures, which are then transmitted to the VGTP-R end for decoding. During the image transmission process, the correlation of the image matrix is destroyed by rearranging the image pixel matrix, making it impossible for illegal interceptors to obtain the original image information from the messy image, thereby achieving information encryption.

Displays the image after the pixel values are scrambled and encoded, that is, the VGTP-S end encodes the image pixel values out of sequence and sends it to the VGTP-R end for normal decoding and displays the scrambled image. For the image processed in this way, The pixel information is chaotic and the picture is blurry and irregular. Therefore, even if the suspected peeping user successfully implements the peeping behavior, effective information cannot be obtained, thereby ensuring the security of user information.

It should be noted that although the various steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that these steps must be performed in this specific order, or that all of the steps shown must be performed. Achieve desired results. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, etc. Additionally, it is also readily understood that these steps may be performed synchronously or asynchronously, for example, in multiple modules/processes/threads.

Furthermore, in this exemplary embodiment, another anti-peeping method based on scrambled coding of image pixel values is also provided. Referring to what is shown in Figure 3, the method may include. Among them: step S201 to step S203.

Step S201: Establish a connection between the zero terminal and the virtual machine;

Step S202: The zero terminal collects the user image data of the current user and sends it to the virtual terminal;

Step S203: The zero terminal receives image data and parses the image data to display a desktop image.

Specifically, as shown in Figure 4, after the zero terminal establishes a connection with the virtual terminal, the virtual terminal encodes the desktop image normally and sends it to the zero terminal. At the same time, the zero terminal performs anti-peeping monitoring; when a spying event is discovered, the virtual terminal The desktop image is encoded and sent out of order, and the zero terminal decodes it to obtain the garbled image; when the snooping event is eliminated, the virtual terminal re-encodes and sends the desktop image normally, and the zero terminal decodes it and obtains the normal desktop image, thereby preventing information leakage.

Furthermore, in this exemplary embodiment, an anti-peeping device based on scrambled coding of image pixel values is also provided. Referring to what is shown in FIG. 5 , the device 100 includes: a first connection module 101 , a judgment module 102 , a first encoding module 103 and a sending module 104 . Among them, the first connection module 101 is used to establish a connection between the virtual machine and the zero terminal; the judgment module 102 is used for the virtual machine to receive the user image data sent by the zero terminal, and determine whether to use the user image data based on the user image data. A peeking event occurs; the first encoding module 103 is used to, if the peeking event occurs, the virtual machine performs pixel value coding on the desktop image out of order to obtain image data; the sending module 104 is used for the The virtual machine sends the image data to the zero terminal.

Furthermore, in this exemplary embodiment, another anti-peeping device based on scrambled coding of image pixel values is also provided. Referring to FIG. 6 , the device 200 includes: a second connection module 201 , a user image acquisition module 202 and an analysis module 203 . Among them, the second connection module 201 is used to establish a connection between the zero terminal and the virtual machine; the user image collection module 202 is used for the zero terminal to collect the user image data of the current user and send it to the virtual terminal; the analysis module 203 , used for the zero terminal to receive image data and parse the image data to display a desktop image.

Through the above-mentioned anti-peeping method and device based on scrambled encoding of image pixel values, after the zero terminal establishes a connection with the virtual terminal, the virtual terminal encodes the desktop image normally and sends it to the zero terminal. At the same time, the zero terminal performs anti-peeping monitoring; when it is discovered When there is a snooping event, the zero terminal encodes and sends the desktop image out of order, and the zero terminal decodes it and obtains the garbled image; when the snooping event is eliminated, the virtual terminal re-encodes and sends the desktop image normally, and the zero terminal decodes it and obtains a normal desktop image. This prevents information leakage.

Regarding the devices in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

It should be noted that although several modules or units of equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into being embodied by multiple modules or units. Components shown as modules or units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. You can select some or all of the modules according to actual needs to achieve the purpose of the solution. Persons of ordinary skill in the art can understand and implement the method without any creative effort.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, with a computer program stored thereon. When the program is included in the processor and executed, it can implement the image pixel-based method described in any of the above embodiments. Steps for anti-peeping method of value shuffle encoding. In some possible implementations, various aspects of the present invention can also be implemented in the form of a program product, which includes program code. When the program product is run on a terminal device, the program code is used to cause the The terminal device performs the steps according to various exemplary embodiments of the present invention described in the above-mentioned anti-peeping method based on scrambled coding of image pixel values in this specification.

Referring to FIG. 7 , a program product 300 for implementing the above method according to an embodiment of the present invention is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be used on a terminal device, For example, run on a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus or device.

The program product may take the form of any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

The computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A readable storage medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device. Program code contained on a readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., as well as conventional procedural Programming language—such as "C" or a similar programming language. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device or entirely on the remote computing device or server implement. In situations involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. (business comes via Internet connection).

In an exemplary embodiment of the present disclosure, an electronic device is also provided, and the electronic device may include a processor, and a memory for storing executable instructions of the processor. Wherein, the processor is configured to execute the steps of the anti-peeping method based on image pixel value scrambled encoding in any of the above embodiments by executing the executable instructions.

Those skilled in the art will understand that various aspects of the present invention may be implemented as systems, methods or program products. Therefore, various aspects of the present invention can be implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "Circuit", "Module" or "System".

An electronic device 600 according to this embodiment of the invention is described below with reference to FIG. 8 . The electronic device 600 shown in FIG. 8 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present invention.

As shown in Figure 8, electronic device 600 is embodied in the form of a general computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.

Wherein, the storage unit stores program code, and the program code can be executed by the processing unit 610, so that the processing unit 610 performs the anti-peeping method described in the above-mentioned anti-peeping method based on image pixel value scrambled encoding in this specification. Steps in accordance with various exemplary embodiments of the invention. For example, the processing unit 610 may perform steps as shown in FIG. 1 .

The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 6201 and/or a cache storage unit 6202, and may further include a read-only storage unit (ROM) 6203.

The storage unit 620 may also include a program/utility 6204 having a set of (at least one) program modules 6205 including, but not limited to: an operating system, one or more applications, other program modules, and programs. Data, each of these examples or some combination may include an implementation of a network environment.

Bus 630 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.

Electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 600, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 660. Network adapter 660 may communicate with other modules of electronic device 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

Through the above description of the embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software, or can be implemented by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which can be a personal computer, a server or a network device, etc.) to execute the above anti-peeping method based on image pixel value scrambled encoding according to an embodiment of the present disclosure.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. An anti-peeping method based on scrambled coding of image pixel values, characterized in that the method includes: The virtual machine establishes a connection with the zero terminal; The virtual machine receives the user image data sent by the zero terminal, and determines whether a peeping event occurs based on the user image data; If the peeking event occurs, the virtual machine performs random encoding of pixel values on the desktop image to obtain image data; The virtual machine sends the image data to the zero terminal. 2. The anti-peeping method based on scrambled coding of image pixel values according to claim 1, characterized in that the method further includes: If the peek event does not occur, the virtual machine encodes the desktop image normally to obtain image data. 3. The anti-peeping method based on scrambled encoding of image pixel values according to claim 1, wherein the step of determining whether a peeping event occurs based on the use of user image data includes: The zero terminal identifies the user image data and determines the number of currently identified users; If the user is not detected, it is determined that a spying event has occurred; If one or more users are detected, subsequent judgment will be made. 4. The anti-peeping method based on scrambled encoding of image pixel values according to claim 3, characterized in that if one or more users are detected, the step of making subsequent judgments includes: If one of the users is detected, determine whether the user is a legal user based on the legal user image data; If not, it is judged that a voyeurism event has occurred; If so, continue to determine whether the legitimate user's actions are suspicious. If so, it is determined that a spying event has occurred. 5. The anti-peeping method based on scrambled coding of image pixel values according to claim 4, characterized in that if one or more users are detected, the step of making subsequent judgments further includes: If multiple users are detected, determine whether the legal users are included among the multiple users; If it is not included, it is judged that a peeping incident has occurred; If included, continue to determine whether the actions of the legitimate user and the remaining users are suspicious. If they are suspicious, it is determined that a spying event has occurred. 6. The anti-peeping method based on scrambled encoding of image pixel values according to claim 1, characterized in that the step of the virtual machine performing scrambled encoding of pixel values on the desktop image to obtain the image data includes: Create a new pixel matrix based on the pixel matrix of the desktop image; The pixel values of the desktop image are marked, and the order of the pixel values of the desktop image is scrambled and stored in the new pixel matrix to complete the pixel value scrambled encoding. 7. An anti-peeping method based on scrambled coding of image pixel values, characterized in that the method includes: Zero terminal establishes connection with virtual machine; The zero terminal collects the user image data of the current user and sends it to the virtual terminal; The zero terminal receives image data and parses the image data to display a desktop image. 8. An anti-peeping device based on scrambled coding of image pixel values, characterized in that the device includes: The first connection module is used to establish a connection between the virtual machine and the zero terminal; A judgment module, configured for the virtual machine to receive the user image data sent by the zero terminal, and determine whether a peeping event occurs based on the user image data; The first encoding module is used to, if the peek event occurs, the virtual machine performs random encoding of pixel values on the desktop image to obtain image data; A sending module, configured for the virtual machine to send the image data to a zero terminal. 9. The anti-peeping device based on scrambled coding of image pixel values according to claim 8, characterized in that the device further includes: The second encoding module is used to perform normal encoding on the desktop image by the virtual machine to obtain image data if the peeking event does not occur. 10. An anti-peeping device based on scrambled coding of image pixel values, characterized in that the device includes: The second connection module is used to establish a connection between the zero terminal and the virtual machine; The user image collection module is used by the zero terminal to collect the user image data of the current user and send it to the virtual terminal; A parsing module is used for the zero terminal to receive image data and parse the image data to display a desktop image.