KR101754014B1 - Information Leakage Prevention Apparatus Based Face Recognition And Method of Threof - Google Patents

Abstract

Hereinafter, an information leakage prevention device based on a face recognition technology and an operation method thereof are disclosed. According to another aspect of the present invention, there is provided a method of operating an information leakage prevention device based on face recognition technology, including: obtaining image information on a face of a user through a camera; Retrieving face information in the pre-stored database that matches the acquired image information; Allowing access to the security information corresponding to the face information based on whether or not face information coinciding with the image information is extracted; And blocking access to the security information based on whether or not a predetermined abnormal situation is found in the image information.

Description

TECHNICAL FIELD The present invention relates to an information leak prevention apparatus based on face recognition,

The following embodiments relate to an information leakage prevention device based on a face recognition technology and an operation method thereof.

In order to provide a smart work environment where many companies can work anytime and anywhere, it is necessary to use the master data management (MDM) and geo-fencing (combination of GPS information) (Screen copy, document storage, etc.) through the device.

However, there is no way to prevent the in-house access screen of a device connected by an authorized user from shooting with a third party camera or to know who did so, so that accessing important information is limited to a specific location (office) and a specific device And is a stumbling block to smart work that allows you to view your work using your desired device anytime, anywhere.

Therefore, there is a need for a technology to improve the security solution for smart work that can work without restriction of time and space.

According to embodiments, a method for preventing information leakage based on face recognition technology is provided, which improves a security solution for a smart work that can work without restriction of time and space.

Facial recognition technology allows authorized users to access security information anytime and anywhere, thereby enabling employees to securely protect important information of the company while allowing employees to view their work without restriction of location and time.

Acquiring image information of a user; Monitoring whether or not a predetermined abnormal situation is found in the video information in a state where access to the security information corresponding to the user is permitted; And blocking an access to the security information based on whether or not the predetermined abnormal situation is found in the image information.

The step of blocking access to the security information may include terminating the display screen of the terminal or changing the display screen to another screen.

The abnormal condition may be a situation in which a face other than the user is detected in the image information.

The abnormal state may be a state in which the presence of an abnormal object is detected in the image information.

The abnormal state may be a state in which the face of the user is out of a certain range in the image information, or the size of the face of the user in the image information is changed by a certain ratio or more compared to the reference size.

The abnormal state may be a state in which the visual range of the user is recognized as being out of a specific range in the image information.

The step of acquiring the image information of the user may include acquiring at least one of the time information for acquiring the image information or the position information of the terminal where the image information is reproduced together with the image information of the user .

If the access to the security information is blocked, storing at least any one of the image information up to the blocking time when the access is blocked, the time information until the blocking time, or the location information of the terminal at the blocking time .

And transmitting the stored information to a server.

Obtaining facial information corresponding to the information leakage preventing device; Authenticating the user by comparing the image information with the facial information; And allowing access to the security information based on the authentication result.

A camera for acquiring image information of a user; display; A memory for storing an application; And a processor for executing an application stored in the memory, wherein the processor monitors whether or not a predetermined abnormal situation is found in the video information in a state in which access to the security information corresponding to the user is permitted, The information leakage prevention device may block the access to the security information when the predetermined abnormal situation is found in the video information.

According to the embodiment, it is possible to provide a method of preventing information leakage based on face recognition technology that improves a security solution for a smart work that can be performed without restriction of time and space.

By using facial recognition technology, authorized users can access important information anytime and anywhere, and work can be done. By protecting important information of company safely, employees can see work without restriction of place and time. Thereby improving the business productivity of the enterprise.

1 is a flowchart of a method for preventing information leakage based on face recognition in one embodiment.
Fig. 2 is a flowchart for explaining an operation method of the information leakage prevention device in one embodiment.
3 is a diagram for explaining the occurrence of an abnormal situation in one embodiment.
4 is a diagram for explaining a method of detecting a user's gaze in one embodiment.
5 is a block diagram for explaining the configuration of an information outflow control apparatus in an embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Various modifications may be made to the embodiments described below. It is to be understood that the embodiments described below are not intended to limit the embodiments, but include all modifications, equivalents, and alternatives to them.

The terms used in the examples are used only to illustrate specific embodiments and are not intended to limit the embodiments. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises" or "having" and the like refer to the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this embodiment belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

In the following description of the present invention with reference to the accompanying drawings, the same components are denoted by the same reference numerals regardless of the reference numerals, and redundant explanations thereof will be omitted. In the following description of the embodiments, a detailed description of related arts will be omitted if it is determined that the gist of the embodiments may be unnecessarily blurred.

1 is a flowchart of a method for preventing information leakage based on face recognition in one embodiment. In an embodiment, the terminal may operate through an application installed in the terminal.

In step 101, the terminal may request security information from the smart work system. In an embodiment, a smart work system may be accessed through an application or a web site to request security information, and the security information may include, for example, in-house critical data, business related data, and the like.

In step 102, the smartwalk system may send authentication and visibility requests to the security system for the user requesting the security information.

In step 103, the security system may retrieve the user's facial information. In an embodiment, the user's facial information may be pre-stored in the security system. For example, the image of the user's face, the analyzed information of the image, and the like can be stored. The facial information of the user can be retrieved corresponding to the request received from the smart work system.

In step 104, the security system transmits the retrieved facial information and transmits a monitoring request for the user to the terminal. In an embodiment, the face information may be used to compare the face of the user, which is transmitted to the terminal and acquired through the camera of the terminal, with the photographed image information.

In step 105, the terminal confirms the face recognition, records the image, and continuously monitors the image. In an embodiment, the camera on the front side of the terminal may be turned on by a signal received from the security system. The terminal compares the transmitted facial information with the image information of the user's face acquired through the camera. The terminal can confirm the face recognition according to the match, thereby authenticating the user and accessing the security information according to the authentication result Can be granted.

In the embodiment, after confirming the face recognition, the user can be monitored by continuously photographing the front side of the terminal through the camera.

In step 106, the terminal may transmit confirmation information about the face recognition performed to the user to the security system. Accordingly, in step 107, the security system confirms the received face recognition result, and can confirm whether image recording and monitoring using the camera are normally performed.

In step 108, the security system may communicate information about the user authentication and monitoring request to the smart work system. In an exemplary embodiment, the smart work system may respond to a signal indicating that security information can be provided to the terminal.

In step 109, the smartwalk system may initiate a security information service to the terminal. In an embodiment, security information may be provided through an application or a web site. The terminal can authenticate the user and make the security information available regardless of the location of the user using the smart work system.

In starting the security information service from the smart work system to the terminal, the terminal can acquire the image of the front side through the camera at regular intervals while outputting the security information through the display of the terminal. The terminal can judge every face whether there is a face of the user on the front side image acquired at regular intervals or an object other than the user's face is recognized at every cycle.

In step 110, the terminal may detect an abnormal situation. In the embodiment, the abnormal situation is detected when a predetermined abnormal situation is detected when analyzing the image of the front side acquired at regular intervals. For example, if an unauthenticated face is detected in the video, an abnormal object is detected in the video, or if the user's face is out of a specific range in the video, the user's gaze is not detected, It is possible to judge that the face is abnormal when the size of the face is distant from the terminal by a certain distance or more and the face size is changed by more than a specific ratio compared with the reference size, Here, the abnormal object may correspond to an object such as a camera or a mobile phone which may cause a security problem.

In step 111, the terminal may block the security information in response to the detected abnormal condition. In an embodiment, an abnormal situation corresponds to a situation where a security problem may occur in exposing the security information to the display of the terminal, and if an abnormal situation occurs, the terminal may block exposure of the security information being displayed on the terminal. For example, the screen of the terminal may be changed to a predetermined screen or a screen may be displayed to warn that the security information is exposed.

In step 112, the terminal may transmit the log to the security system. In the embodiment, the terminal receives the video information up to the blocking time, the location information of the blocking time, and the time information until the blocking time in response to the blocking time when the security information is blocked while the access to the security information is permitted Can be stored. For example, a log of image information up to the blocking time, position information of the blocking point, and time information until the blocking point can be stored, and the stored information can be transmitted to the security system (server). The security system may then store the received log to record service usage for the user. In another embodiment, a log may be generated corresponding to the end time of a normal security information service, not an abnormal situation, and the log may be transmitted to the security system.

In step 113, the security system may send the blocking information to the smart work system. In an embodiment, blocking information for the terminal may be transmitted to stop the provision of the security information to the terminal.

For the sake of convenience, the embodiment has been described in which the abnormal situation detection and the security information blocking function are performed in the terminal, but this can be variously modified. For example, the monitoring result of step 105 may be transmitted from the terminal to the security system. In this case, the security system can detect an abnormal situation in real time and instruct the smart work system to block the security information when an abnormal situation is detected. Alternatively, in step 106, the terminal may transmit the image information acquired through the camera to the security system, and in step 107, the security system transmits the image information of the received user and the stored face information The user can be authenticated according to whether or not the two pieces of information match each other.

Fig. 2 is a flowchart for explaining an operation method of the information leakage prevention device in one embodiment. The information leakage preventing device according to the embodiment may correspond to a terminal such as a mobile phone, a tablet, a computer, a notebook computer, etc., and a method of operating through an application installed in the terminal, a browser providing a web site, or the like will be described.

In step 210, the terminal obtains image information on the user's face through the camera.

In this embodiment, for this purpose, security information may first be requested to the smart work system through an application, a web site, or the like. Correspondingly, it is possible to receive facial information previously stored in order to recognize the face of the user from the security system.

A monitoring request for the user can be received together with the face information while the camera installed on the front face of the terminal is activated and the face of the user can be photographed.

In step 220, the terminal searches for facial information matching the acquired image information.

As described above, the face information previously stored in the database of the security system, for example, the image obtained by photographing the face of the user in advance in the information to be used for recognizing and authenticating the face of the user, or the information And the like.

In the embodiment, the terminal compares the transmitted facial information with the image information about the face of the user acquired through the camera, and confirms the face recognition according to whether the facial information matches or not, thereby authenticating the user.

In the embodiment, after confirming the face recognition, the user can be monitored by continuously photographing the front side of the terminal through the camera.

In step 230, the terminal permits access to the security information corresponding to the facial information, based on whether facial information matching the facial information is extracted.

In the embodiment, when the image information matches the face information, or when the face information is retrieved corresponding to the image information, the terminal may transmit an authentication result indicating that the user's face authentication has succeeded to the security system. Accordingly, the security system can transmit a signal indicating that the smart work system can provide security information to the user.

In another embodiment, the terminal may transmit the acquired image information to the security system in step 210. [ In this case, the user can be authenticated through comparison with the facial information stored in the security system. For example, the security system can store facial information about authenticable users, and can retrieve matching facial information for image information received from the terminal. When facial information matching the image information is retrieved, the user can be authenticated.

In the embodiment, the security information provided in the smart work system may be output through the display of the terminal, and the contents of the security information that can be provided according to the user may be different.

In providing the security information to the terminal in the smart work system, the terminal can acquire the image of the front side at a predetermined period (for example, one second) through the camera while outputting the security information through the display of the terminal. The terminal can judge every face whether there is a face of the user on the front side image acquired at regular intervals or an object other than the user's face is recognized at every cycle.

In step 240, the terminal blocks access to the security information based on whether or not a predetermined abnormal situation is detected in the video information.

In the embodiment, it is possible to recognize whether or not an abnormal situation has occurred by analyzing the front side image of the camera acquired at regular intervals. For example, in an abnormal situation, an unauthenticated face is detected in the image other than the user, an abnormal object is detected in the image, or the user's face is out of a specific range in the image, or the user's gaze is not detected in the image It can be determined that the face is in an abnormal state when the face of the user is distant from the terminal by a certain distance, the size of the face is changed by more than a certain ratio compared with the reference size, Here, the abnormal object may correspond to an object such as a camera or a mobile phone which may cause a security problem.

The terminal can block the exposure of the security information being displayed on the terminal in response to the detected abnormal condition. In an embodiment, an abnormal situation may correspond to a situation in which a security problem may occur in exposing the security information to the display of the terminal. For example, in order to block the security information, the screen of the terminal may be changed to a predetermined screen or a screen may be displayed to warn that the security information is exposed.

In one embodiment, the terminal may store video information from the time of exposing the security information to the terminal to the blocking time when the security information is blocked, position information of the terminal at the blocking time, and time information from the blocking time to the blocking time For example, video information up to the blocking time point at which the security information is blocked, position information of the terminal at the blocking time, and time information until the blocking time.

In an embodiment, stored information (or logs) may be transmitted to the security system at the point of time when the security information is blocked. For example, the provision of security information may be terminated by an abnormal situation, or the provision of security information may be terminated in response to a user's interruption request, and the log may be stored in a different format according to each situation. Thereafter, the smart work system can stop providing the security information to the terminal.

3 is a diagram for explaining the occurrence of an abnormal situation in one embodiment.

In the embodiment, FIG. 3A is an embodiment of an image including both faces of the user corresponding to face information or image information for initial user face recognition. When the face information for face recognition of the user is registered, the entire face such as eyes, nose, mouth, ear, etc. is included in the photographing range of the camera as shown in Fig. Also, when the image information for face recognition is input, the entire face is included in the photographing range of the camera as shown in Fig. 3 (a).

3 (b) to 3 (e) are examples of images corresponding to the occurrence of an abnormal situation. In the embodiment, in order to continuously use the security information even after the authentication of the user, it is necessary to maintain a normal situation in which the face of the user is included within the shooting range of the camera of the terminal or within a specific range of the shooting range.

FIG. 3 (b) relates to the case where an abnormal object is found in the image other than the face of the user. For example, when an object such as a camera or a mobile phone is detected as an object that may cause a security problem, the terminal can determine that an abnormal situation has occurred in the image.

Fig. 3 (c) relates to a case where an unauthenticated user's face is recognized in addition to the user's face in the image. In the embodiment, a situation in which a face other than a user is recognized can be determined as an abnormal situation in which a security problem may occur.

Fig. 3 (d) and Fig. 3 (e) relate to the case where the user's face is not recognized within a specific range within the image. For example, if a part of the user's gaze is not detected as shown in FIG. 3 (d), or if the user's gaze is not detected as shown in FIG. 3 (e), the terminal can determine that it is in an abnormal state.

According to another embodiment, if the user's face is recognized in the image but the user's face is distant from the terminal by a certain distance or more, the size of the user's face is changed by more than a certain ratio compared to the reference size, or the user's face is recognized, The terminal can judge that it is in an abnormal state.

The terminal blocks access to the security information based on whether or not a predetermined abnormal situation is found in the video information. For example, in order to block the security information, the screen displayed on the display of the terminal may be changed to a predetermined screen or a screen warning that the security information is exposed may be displayed.

4 is a diagram for explaining a method of detecting a user's gaze in one embodiment.

In the embodiment, the user's eyes 402 can be detected when the camera 401 of the terminal 400 acquires the front side image. For this, the camera 401 may be provided on one side of the front side of the terminal 400.

The terminal 400 may detect the user's gaze 402 and determine whether the user's gaze 402 is maintained within a predetermined angle in consideration of the up and down and left and right angles with the camera 401 .

In the embodiment, when the user's sight line 402 is out of a predetermined angle, the terminal 400 can determine that the user's line of sight 402 is in an abnormal state not detected by the terminal, It is possible to visually block the screen displayed on the display.

5 is a block diagram for explaining the configuration of an information outflow control apparatus in an embodiment. The terminal 500 according to the embodiment may include a camera 510, a display 520, a memory 530, and a processor 540. The camera 510 may be a personal computer, a personal computer, .

The camera 510 acquires image information about the user's face.

In an embodiment, the display 520 may request security information from the smart work system via an application, a web site, or the like. Correspondingly, it is possible to receive facial information previously stored in order to recognize the face of the user from the security system. The memory 530 may store the above application or a browser for outputting a web site.

The terminal 500 can simultaneously receive the monitoring request for the user while receiving the face information, and the camera 510 installed on the front face can be activated to photograph the face of the user.

The processor 540 executes an application, a browser, and the like. The facial information matching with the acquired image information is retrieved, and when facial information matching the image information is extracted, the processor 540 grants access to the security information corresponding to the facial information And outputs it to the display 520. If a predetermined abnormal situation is found in the image information, access to the security information is blocked.

The security system can store the user's face information in advance in the database. The facial information according to the embodiment may correspond to, for example, an image obtained by photographing a user's face in advance or information obtained by analyzing the user's face.

In an embodiment, the processor 540 can compare the transmitted facial information with the image information about the user's face acquired through the camera, and can confirm the face recognition according to whether the facial information matches or not, thereby authenticating the user.

In the embodiment, after confirming the face recognition, the user can be monitored by continuously photographing the front side of the terminal through the camera.

The processor 540 may grant access to the security information corresponding to the facial information based on whether facial information matching the facial information is extracted.

In the embodiment, when the image information matches the face information, or when the face information is retrieved corresponding to the image information, the terminal may transmit an authentication result indicating that the user's face authentication has succeeded to the security system. Accordingly, the security system can transmit a signal indicating that the smart work system can provide security information to the terminal 500.

In an embodiment, the security information provided in the smart work system may be output through the display 520 of the terminal, and the content of the security information that can be provided according to the user may be different.

The processor 540 can acquire the image of the front side at regular intervals through the camera 510 while outputting the security information through the display of the terminal. The processor 540 may determine whether there is a face of the user on the front side image acquired at regular intervals or an object other than the face of the user at every cycle.

The processor 540 may block access to the security information based on whether or not a predetermined abnormal situation is detected in the video information.

In an exemplary embodiment, the image of the front side camera 510 acquired at regular intervals may be analyzed to recognize whether an abnormal situation has occurred. For example, in an abnormal situation, an unauthenticated face is detected in an image other than a user, an abnormal object is detected in the image, or a user's face is out of a specific range in the image, It can be determined that the face is abnormal when the face of the user is distant from the terminal by a certain distance or more and the size of the face is changed by more than a certain ratio compared with the reference size or when the line of sight of the user is out of a certain range. Here, the abnormal object may correspond to an object such as a camera or a mobile phone which may cause a security problem.

The processor 540 may block the exposure of the security information being displayed on the terminal in response to the detected abnormal condition. In an embodiment, an abnormal situation may correspond to a situation in which a security problem may occur in exposing the security information to the display 520 of the terminal. For example, in order to block the security information, the screen of the terminal may be changed to a predetermined screen or a screen may be displayed to warn that the security information is exposed.

In one embodiment, the processor 540 may be configured to process video information from the time when access to the security information is permitted to the blocking time when the security information is blocked corresponding to the operation of exposing the security information to the terminal, Location information, and time information until the blocking point. For example, the information may be stored in a log form. The stored information, such as logs, may be transmitted to the security system at the end of the provision of the security information. For example, the provision of security information may be terminated by an abnormal situation, or the provision of security information may be terminated in response to a user's interruption request, and the log may be stored in a different format according to each situation.

The embodiments described above may be implemented in hardware components, software components, and / or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, such as an array, a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. Software and / or data may be stored on any type of machine, component, physical device, virtual equipment, or computer storage medium, or any other form of storage, May be permanently or temporarily embodyed on the device. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Although the embodiments have been described with reference to the drawings, various technical modifications and variations may be applied to those skilled in the art. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Claims (21)

Acquiring image information of a user;
Monitoring whether or not a predetermined abnormal situation is found in the video information in a state where access to the security information corresponding to the user is permitted; And
Blocking access to the security information based on whether or not the predetermined abnormal situation is found in the video information
Lt; / RTI >
In the abnormal situation,
And detecting a presence of a predetermined abnormal object capable of causing a security problem in the image information,
A method of operating the information leakage preventing device.
The method according to claim 1,
Wherein blocking access to the security information comprises:
And terminating or changing the display screen being reproduced by the terminal to another screen.
A method of operating the information leakage preventing device.
The method according to claim 1,
In the abnormal situation,
And a face other than the user is detected in the image information.
A method of operating the information leakage preventing device.
delete The method according to claim 1,
In the abnormal situation,
Wherein the face of the user is out of a specific range in the image information or the size of the face of the user in the image information is changed by more than a specific ratio in comparison with the reference size
A method of operating the information leakage preventing device.
The method according to claim 1,
In the abnormal situation,
And a state in which the visual range of the user is recognized as being out of a specific range in the image information
A method of operating the information leakage preventing device.
The method according to claim 1,
Wherein the acquiring of the image information of the user comprises:
Acquiring at least one of time information for acquiring the image information or position information of a terminal in which the image information is reproduced together with image information of the user
/ RTI >
A method of operating the information leakage preventing device.
8. The method of claim 7,
Storing information on at least one of video information up to the blocking time when the access to the security information is blocked, time information until the blocking time, or location information of the terminal at the blocking time,
≪ / RTI >
A method of operating the information leakage preventing device.
9. The method of claim 8,
And transmitting the stored information to a server
A method of operating the information leakage preventing device.
The method according to claim 1,
Obtaining facial information corresponding to the information leakage preventing device;
Authenticating the user by comparing the image information with the facial information; And
Granting access to the security information based on the authentication result
≪ / RTI >
A method of operating the information leakage preventing device.
A computer program stored on a medium for executing the method of any one of claims 1 to 3 and 5 to 10 in combination with hardware.
A camera for acquiring image information of a user;
display;
A memory for storing an application; And
A processor executing an application stored in the memory
Lt; / RTI >
The processor comprising:
The method comprising the steps of: monitoring whether or not a predetermined abnormal situation is found in the video information in a state in which access to the security information corresponding to the user is permitted; monitoring, when the predetermined abnormal situation is found in the video information, Blocking access,
In the abnormal situation,
And detecting a presence of a predetermined abnormal object capable of causing a security problem in the image information,
Information leakage prevention device.
13. The method of claim 12,
The processor comprising:
The access control unit blocks access to the security information by closing the display screen of the terminal being reproduced or changing the screen to another screen,
Information leakage prevention device.
13. The method of claim 12,
In the abnormal situation,
Wherein a face other than the user is detected in the image information,
Information leakage prevention device.
delete 13. The method of claim 12,
In the abnormal situation,
Wherein the face of the user is out of a specific range in the image information or the size of the face of the user in the image information is changed by a predetermined ratio or more compared to a reference size,
Information leakage prevention device.
13. The method of claim 12,
In the abnormal situation,
Wherein the user's sight line range is recognized as being out of a specific range in the image information,
Information leakage prevention device.
13. The method of claim 12,
The processor comprising:
Acquiring at least one of time information for acquiring the image information or position information of a terminal in which the image information is reproduced together with image information of the user,
Information leakage prevention device.
19. The method of claim 18,
The processor comprising:
If the access to the security information is blocked, information on at least one of video information up to the blocking time when the access is blocked, time information until the blocking time, or location information of the terminal at the blocking time is stored
Information leakage prevention device.
20. The method of claim 19,
The processor comprising:
Transmitting the stored information to a server,
Information leakage prevention device.
13. The method of claim 12,
The processor
Acquires face information corresponding to the information leakage preventing device,
Comparing the image information with the face information to authenticate the user,
And accessing the security information based on the authentication result,
Information leakage prevention device.

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