CN111695107A

CN111695107A - Verification method and device and electronic equipment

Info

Publication number: CN111695107A
Application number: CN202010481997.2A
Authority: CN
Inventors: 吴源燚; 张佳龙; 黄鹤清; 谢文奇; 陈洪飞; 赵晨晓; 石崇文; 杜培东; 王欣宇; 段文斌; 宋晔
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-05-29
Filing date: 2020-05-29
Publication date: 2020-09-22
Anticipated expiration: 2040-05-29
Also published as: CN111695107B

Abstract

The embodiment of the disclosure discloses a verification method, a verification device and electronic equipment. One embodiment of the method comprises: displaying a target image and a target control, wherein the target control is used for rotating the target image; rotating the target image according to the operation aiming at the target control; determining whether the verification passes based on a parameter associated with the operation; wherein the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area. Thus, a new authentication method can be provided.

Description

Verification method and device and electronic equipment

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a verification method and apparatus, and an electronic device.

Background

The fully Automated turing test (computer Automated Public turing test to tell Computers and Humans), also known as CAPTCHA test, is a Public, fully Automated program that distinguishes between users and Computers. The verification code is set, so that malicious registration, brute force cracking or batch posting of the use program and the like can be effectively prevented.

With the continuous development of verification code technology, various forms of verification codes, such as digital verification codes, picture verification codes, slider verification codes, and the like, have appeared. It is still useful for someone to attempt to break the captcha using various methods, such as disguising that a human is operating using the machine operation running a breaking program.

Disclosure of Invention

This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

The embodiment of the disclosure provides a verification method, a verification device and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides a verification method, where the method includes: displaying a target image and a target control, wherein the target control is used for rotating the target image; rotating the target image according to the operation aiming at the target control; determining whether the verification passes based on a parameter associated with the operation; wherein the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area.

In a second aspect, an embodiment of the present disclosure provides an authentication apparatus, including: the display unit is used for displaying a target image and a target control, wherein the target control is used for rotating the target image; the rotating unit is used for rotating the target image according to the operation aiming at the target control; a verification unit configured to determine whether verification passes based on a parameter related to the operation; wherein the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the authentication method according to the first aspect.

In a fourth aspect, the disclosed embodiments provide a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the steps of the authentication method according to the first aspect.

According to the verification method, the verification device and the electronic equipment provided by the embodiment of the disclosure, the target image can be changed relative to the original image by adjusting the color channel value of the pixel in the target hidden area, and firstly, a new verification image can be provided; secondly, because the target image is obtained based on the adjustment of the original image, the basis of positioning the rotation angle through matching the hash value or the dominant hue is not established, and therefore the cracking difficulty of a cracker can be improved.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

FIG. 1 is a flow diagram of one embodiment of a verification method according to the present disclosure;

FIG. 2 is a schematic diagram of one application scenario of an authentication method according to the present disclosure;

FIG. 3 is a schematic illustration of an exemplary disruption approach;

FIG. 4 is a flow chart of one exemplary implementation of an adjustment step according to the present disclosure;

FIG. 5 is a schematic diagram of one application scenario of an authentication method according to the present disclosure;

FIG. 6 is a schematic block diagram of one embodiment of an authentication device according to the present disclosure;

FIG. 7 is an exemplary system architecture to which the verification method of one embodiment of the present disclosure may be applied;

fig. 8 is a schematic diagram of a basic structure of an electronic device provided according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

Referring to fig. 1, a flow diagram of one embodiment of a verification method according to the present disclosure is shown. The verification method as shown in fig. 1 includes the following steps:

and 101, displaying a target image and a target control.

In this embodiment, an execution subject (e.g., a terminal device) of the verification method may present the target image and the target control.

Here, the target image may be obtained in various ways, and is not limited herein.

As an example, the target image may be sent to the terminal by the server. How the server obtains the target image may be set according to an actual application scene, which is not limited herein. For example, the server may rotate the material image, and adjust the rotated material image to obtain the target image.

As an example, the target image may be generated by the terminal itself, that is, the server sends a material image to the terminal, and then the terminal rotates the material image, and adjusts the rotated material image to obtain the target image.

In this embodiment, the target control is used to rotate the target image.

In this embodiment, the target control may be operated by a human user or a machine user.

In this embodiment, the display form of the target control may be various, and is not limited herein. As an example, the target control may be a circular ring, a bar, or the like.

In this embodiment, the operation form of the target control may be various, and is not limited herein.

By way of example, the preset area of the target control may be clicked continuously, and as the click progresses, the target image rotates continuously.

As an example, the target control may include a slide rail and a slider, and the slider may be dragged, and as the dragging is performed, the target image continuously rotates.

It will be appreciated that in some cases a device may need to be authenticated in order to obtain the corresponding rights. In some cases, verification may also be referred to as authentication. For example, the device needs to be authenticated before logging into the website, before performing payment operations, etc.; in particular, the device may send various requests (e.g., login requests or payment requests) to the server, which may return an authentication code to the device if the request triggers an authentication mechanism. The interface that prompts the device to present the verification code may be referred to as a verification interface. By way of example, the validation code may be various, such as an alphabetic validation code, a numeric validation code, a slider validation code, and the like.

It should be noted that the device that sends the various requests to trigger the authentication mechanism may be a terminal used by a real human user, or may be an electronic device (e.g., a terminal or a server) on which an automatic operation program designed by a cracker runs. The auto-operator runtime can automatically recognize the authentication code and perform the operation and provide the executing agent with an answer that attempts to convince the server that authenticated the device that sent the various requests is being authenticated by the human user operation.

In other words, the operator may be a human user, or a machine user; wherein a machine user may execute a cracking program (or an automatic operating program) to simulate the operation of a human user.

And 102, rotating the target image according to the operation aiming at the target control.

In this embodiment, the execution body may rotate the target image according to an operation on the target control.

In this embodiment, a specific process of rotating the target image according to the operation for the target control may be set according to an actual application scenario.

As an example, the above operation is a dragging operation, and the rotation speed of the rotation target image may be a constant speed or a non-constant speed as the dragging operation is performed at a constant speed.

Step 103, determining whether the verification passes based on the operation-related parameters.

In this embodiment, the execution body may determine whether the verification passes based on a parameter related to the operation.

Here, the operation-related parameter may be predefined according to an actual application scenario, and is not limited herein.

As an example, the parameters related to the operation may include parameters related to the time when the operation is stopped, and may also include parameters related to the duration of the operation; whether the verification is passed may be determined based on the above-mentioned operation stop time and/or the relevant parameters during the operation.

As an example, the relevant parameter at the operation stop time may include a rotation angle. Whether the verification passes may be determined by determining whether a difference between the rotation angle and the target rotation angle is less than a preset error.

The operation duration may be defined according to different operation types. As an example, for a drag operation, after the drag is started and before the drag is released, the operation may be continued. For example, for the continuous clicking operation, if the click is stopped for a preset interval without the next click, the click is taken as the last click, and the process from the beginning of the click to the beginning of the last click may be taken as the operation continuation process.

As an example, the relevant parameters in the operation duration may include an operation track, such as a dragging track.

The parameter values related to the operation may be generated by a human user operation or an automatic operation program controlling the target control. The parameters related to the operation can provide a great deal of details, for example, a dragging track of the target control, and the plurality of details can be integrated to determine whether the device for sending the operation information is operated by a human user.

In some application scenarios, if the verification passes, a prompt indicating that the verification passes may be presented; if the verification fails, indication information indicating that the verification failed may be presented.

Here, the verification according to the operation-related parameter may be performed by the terminal, may be performed by the server, or may be performed by a combination of the terminal and the server. If the client executes, the step 103 executed by the client may include: and sending the parameters related to the operation to the server, wherein the server can return a verification result to the terminal, and the terminal can determine whether the verification passes according to the received verification result. As an example, in the case where there are two kinds of operation-related parameters, one kind may be verified at the terminal and the other kind may be verified at the server; the terminal can combine the verification results of the two parameters to determine whether the verification is passed.

Referring to fig. 2, an exemplary scenario of the present embodiment is shown. In fig. 2, a target image 201 and a target control 202 are shown. The target control 202 may include a slide rail 2021 and a slider 2022, among others. When the user operates the slider 2022 to slide on the slide rail 2021, the target image 201 may rotate within a rectangular area on the interface, and visually, the building image in a circular area may rotate.

In some application scenarios, the server may preset a library of material images. The server can rotate the material images in the material image library to obtain the original images and the target rotation angles, and the target rotation angles can indicate the rotation angles from the material images to the original images.

Optionally, the server may perform rotation to various degrees in advance for each material image in the material image library to obtain a plurality of pairs of original images and target rotation angles. When the server triggers the verification mechanism and needs to return the verification code to the equipment, the original image and the target rotation angle can be randomly acquired.

Alternatively, the server may set a material image library in advance. When the server triggers the verification mechanism and needs to return a verification code to the equipment, the server randomly acquires a material image from the material image library, randomly rotates the material image, and then obtains an original image and a target rotation angle.

Here, the material image generally has a forward image feature that can be recognized by a human user, wherein the forward image feature allows the human user to determine whether the image is in a forward state. For example, an animal image can be selected as a material image, the head of the animal in the animal image is not inclined upwards, the animal has long legs and a long neck, and the animal is in a standing state; still images can also be selected, and the still in the still images can be scenes common in life, such as scenes containing obvious gravity (such as buildings) and background ground level.

Here, the material image is generally rotated with the image center as the rotation center. It will be appreciated that the images are all rectangular (e.g. rectangular or square). The original image obtained by rotating the material image is also rectangular. When the material image and the original image are identical in size (i.e., the pixels in the longitudinal direction are the same and the pixels in the width direction are the same), the original image obtained by rotating the material image loses some pixels from the material image.

In some application scenarios, the original image may be adjusted in a non-rotational manner to obtain the target image. It will be appreciated that the target image may have a certain tilt relative to the material image, and the tilt angle is the same as the original image.

It can be understood that the original images rotate at different angles relative to the material image, which means that lost pixel points are different, so that the dominant hue of each original image obtained by rotating the material image at different angles is different, and the channel values (including the color channel value and the transparent channel value) of each pixel in the blank part are all 0. And the same material image is rotated by different angles to obtain the picture with different hash values. If only the cut-out circle is reserved in the rectangular image, the pixel points of all circles can be in one-to-one correspondence no matter how the circle is rotated, so that the main tone of the rectangular image only with the cut-out circle is reserved to be the same; however, at different rotation angles, the rectangular image hash values that only retain a circle are different because the pixel values are located differently in the image matrix.

In some application scenarios, a display area of the original image may be selected, and the shape of the display area may be various. For example, the shape may be circular, triangular, rectangular, etc., and it is understood that the circle in fig. 2 is only illustrative and does not limit the shape of the display area.

In order to illustrate the technical effects of the embodiments in the present disclosure, the cracking modes that may be adopted by a cracker are briefly described herein, and the cracking modes may include a preparation stage and an application stage. Referring to fig. 3, fig. 3 shows a schematic diagram of a cracking manner.

A preparation stage: downloading verification codes in various ways, wherein the aim is to exhaust a material image library through enumeration; then, filtering existing images, namely the images with the same content and different rotation angles through a similar algorithm, and only keeping one image; then, labeling each image, such as a material A, a material B and a material C; then, rotating each image once every preset angle interval (for example, 3 degrees), optionally obtaining an image identifier after rotation by using a hash algorithm, and also obtaining a preset number (for example, 5) of RGB values for the image after each rotation; in this way, for each rotated image, a piece of data is obtained and recorded, and whether the image is a forward image, for example, a material b, a picture hash code, and a dominant tone RGB value (5), or not, for example, 120 pieces of data can be obtained for an image whose image label is a material b, when the image is rotated once every three degrees. For convenience of illustration, regarding the material B in fig. 3, three original images obtained by rotating the material B are shown, which are an a rotation angle, a B rotation angle, and a C rotation angle, respectively.

It should be noted that, whether the forward image is the forward image or not requires manual setting. In addition, the cracker needs to find the corresponding relationship between the operation degree and the rotation angle, for example, the relationship between the sliding distance of the target control and the rotation angle.

An application stage: downloading an original image as an image to be identified; determining an image label of an image to be identified, such as a material B, by using various modes; then, by utilizing hash value comparison, determining which data under the material B is, for example, determining the rotation angle B; then, the angular difference (e.g., 30 degrees) between the B rotation angle and the data annotated with the forward image can be determined; then, an operation degree corresponding to the angle difference may be determined, for example, the operation degree may be a distance value that needs to control the target control to slide when rotating 30 degrees; and finally, the machine user controls the target control according to the operation degree, and rotates the verification code by the angle difference, so that the cracking task can be completed.

It can be seen that in the application stage of the cracking mode, the image label needs to be located first, and then which data image is under the image label needs to be located, and the degree of operation needs to be determined. Alternatively, the two steps of determining the image label of the image to be recognized and determining which piece of data under the image label can be combined through hash value matching.

Referring to fig. 3, the cracker depends on a first point, a second point and a third point. First, the material image library can be exhausted, and the material images are transversely matched and positioned, namely the images accurately identify which content is. The second point, the image of the same content, can pass matching hash value or dominant tone, position the rotation angle; by matching the basis of the hash value or the dominant hue location rotation angle, the following can be made: taking the material B as an example, firstly, the hash values of all rotation angles of the material B are different, or the dominant hues are different; second, the hash value of the material b, a single angle (e.g., a rotation angle), is stable, or the dominant hue is stable. And thirdly, corresponding relation between the operation degree and the angle difference needs to be found.

It can be understood that the hash value is stable, and the hash values calculated for multiple times are the same for the target image of the material b at a single angle (for example, a rotation angle a) obtained by the terminal; it will be appreciated that if the hash values calculated at each time are not the same, there is no matching basis. The same principle applies to the keytone.

In this embodiment, the target image may be obtained based on an adjustment step for the original image, and the adjustment step may include step 401 and step 402 in the flowchart shown in fig. 4.

The method comprises the following specific steps:

step 401, determining a target hidden area in an original image according to the hidden range information indicating the hidden area.

Here, the original image may include a hidden area and a display area. The hidden range information may be preset.

As an example, the display range information may be set in advance, and then, the display area range may be removed from the original image, so that the hidden range may be obtained. As an example, the display area range information may be a circle having a center of the original image as a center and a preset length as a radius; it will be appreciated that the predetermined length is no greater than half the shorter edge length of the original image.

Step 402, adjusting color channel values of pixels in the target hidden area.

Here, the adjustment of the color channel value of the pixel in the target hidden area may be implemented in various ways according to the actual application scenario, and is not limited herein.

Here, the color channel may include at least one of: a red channel (also referred to as an R channel), a green channel (also referred to as a G channel), and a blue channel (also referred to as a blue channel). In other words, adjusting the color channel values may also be referred to as adjusting the RGB values.

It should be noted that, the verification method provided in this embodiment may adopt an adjustment

step including steps

401 and 402, that is, by adjusting the color channel values of the pixels in the target hidden area, the target image may be changed with respect to the original image pixel values, which may further result in a hash value change and a dominant hue change. Thus, first, a new authentication image may be provided; secondly, because the target image is obtained based on the adjustment of the original image, the basis of positioning the rotation angle by matching the hash value or the dominant hue is not established, and therefore the cracking difficulty of a cracker can be improved.

It should be noted that, for the cracking and anti-cracking of the verification code, the process is one rule higher than the magic. There is no absolutely safe means of protection against tampering. However, extensive cracking can be backed off by increasing the cracking difficulty. It will be appreciated that when the cost of cracking is greater than the profit, the cracker will subside.

In some embodiments, the electronic device of the adjusting step is a server and/or a client.

In some embodiments, the adjusting step may further include step 403 shown in fig. 4 (arrows pointing to step 403 and reference numbers of 403 are shown in dashed lines to indicate that step 403 belongs to optional sub-steps in the adjusting step).

Step 403, adjusting the transparent channel values of the pixels in the target hidden area.

Here, the adjusted transparent channel value may not be greater than the preset transparent channel threshold value.

Here, the transparency of an image may be indicated by the numerical value of a transparent channel (which may also be referred to as an alpha channel); in other words, adjusting the transparency of the image can be achieved by adjusting the value of the transparent channel of the image. For example, a picture stored using 16 bits, it is possible that 5 bits represent red, 5 bits represent green, 5 bits represent blue, 1 bit is alpha; in the case where the 1 bit is alpha, the image is either completely transparent or completely opaque. As another example, a picture stored using 32 bits, each 8 bits representing a red, green, blue and clear channel; in this case, the transparent channel may represent 256 levels of transparency.

Here, the preset transparent channel threshold may be set by an actual application scenario. For example, the preset transparent channel threshold may be configured to make the target hidden area appear transparent or semi-transparent.

As an example, the preset transparent channel threshold may be 0.

It should be noted that, by adjusting the transparent channel values of the pixels in the target hidden area, the target hidden area and the target display area can be in different display states, so that the user can concentrate attention on the target display area when rotating the target image, thereby reducing interference on the image in the display area and improving the efficiency of obtaining image information by the user.

In some embodiments, the transparent channel value adjusted in step 403 is 0.

It should be noted that, adjusting the transparent channel value of the pixel in the target hidden area to 0 can ensure that each pixel in the target hidden area does not appear, i.e., the target hidden area appears transparent.

In some embodiments, the target hidden area may include a blank area and an image area. The step 402 may include: and adjusting the color channel values of the pixels in the blank area and/or the image area.

Referring to fig. 5, there are shown an object hiding area 501, an object display area 502 and a border 503, wherein the object hiding area 501 may include a blank area 5011 and an image area 5012. In fig. 5, the target display area 502 is an area within a circle, and the target hidden area 502 is an area of the entire image other than the target display area. Since the original image is rotated with respect to the material image, the sides of the material image intersect the sides of the original image to form an octagon, four sides of which may be the boundary 503. The boundary divides the target hidden area into a blank area 5011 and an image area 5012; in fig. 5, a triangular area of four corners of a rectangle may be a blank area 5011, and an area between an octagon and a circle may be an image area 5012.

Here, the adjustment of the color channel value of the pixel may be implemented in various ways according to the actual application scenario, and is not limited herein.

It should be noted that, the target hidden area is divided into a blank area and an image area, so as to adjust one of the blank area and the image area in a targeted manner, or a partial area in the target hidden area is adjusted according to the target hidden area, so that the calculation amount caused by adjustment can be reduced and the calculation speed can be increased compared with the case that the blank area and the image area are not distinguished and the target hidden area is uniformly adjusted; thereby reducing the amount of computing resources consumed and increasing the speed at which target images are generated.

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area may include: determining boundary pixels of the blank region and the image region; and determining a boundary adjustment area of the original image according to the boundary pixels, and then adjusting color channel values of pixels in the boundary adjustment area to adjust the boundary of the blank area and the image area. Here, the above-described boundary pixel may be used to indicate a boundary of the blank area and the image area.

As an example, adjusting the boundaries of the blank area and the image area may be achieved by eliminating the boundaries. I.e. the pixels in the blank area and the image area are adjusted to the same color channel value.

As an example, adjusting the boundaries of the blank area and the image area may be achieved by modifying the boundaries, e.g. adding pixels or subtracting pixels on the basis of the primary boundary.

It should be noted that, by adjusting the pixels in the boundary adjustment region, a cracker can be prevented from determining the correct slope of the image region by adjusting the transparent channel value (supposing that the correct slope may make it easier to determine the target rotation angle).

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area may include: and adjusting the color channel value of the pixel in the image area to be a first preset value.

Here, the color channel values of the pixels in the image area are adjusted to the first preset value, so that the color channel values of the respective pixels in the image area are the same.

In some embodiments, the first preset value may be the same as the pixel value of the blank area.

In general, the color channel value of the blank area is 0. Adjusting the pixel values of the image area to be the same as the pixel values of the blank area may include adjusting the color channel values of the pixels of the image area to be 0.

It should be noted that, by adjusting the color channel values in the blank area and the image area in the target hidden area to the same values, the boundary between the blank area and the image area is eliminated, and an image having the same image content as the target image can be made to have the same dominant hue as the target image, so that the anti-hacking effect can be generated for the following two hacking manners:

firstly, aiming at a cracking mode that a cracker determines the correct slope of an image area by adjusting a transparent channel value, cracking can be prevented by eliminating the boundary of a blank area and the image area;

secondly, aiming at the cracking mode of calculating the hash value or determining the rotation angle by the dominant tone, the pixels of the target hidden area can be adjusted to be the same by aiming at the original images of the same material image at all angles, so that the dominant tone of the original images of the same material at all angles is the same, therefore, referring to fig. 3, the first basis for positioning the rotation angle is not established, so that a cracker can be interfered to determine the rotation angle of the image, and further the process of the cracker is interfered.

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area may include: and adjusting the color channel value of the pixel in the blank area to a random value.

Here, adjusting the color channel value of the pixel in the blank area to a random value may include adding a random value to the blank area. Since each pixel in the blank area is filled with a random value, the boundary of the blank area and the image area is eliminated; random values are added to blank areas of the original images each time due to the randomness of the random values to obtain each original image, the hash values are different, and the dominant hues are different; therefore, the anti-cracking function can be generated aiming at the following two cracking modes:

firstly, aiming at a cracking mode that a cracker determines the correct slope of an image area by adjusting a transparent channel value, the cracking can be prevented by eliminating the boundary between a blank area and the image area (as can be understood, no obvious pixel value comparison exists, the cracker can not identify a computer and can consider that the boundary is eliminated);

secondly, aiming at the cracking mode of calculating the hash value or determining the rotation angle by the dominant tone, each target image can be obtained by adding random values to blank areas of the original image at each time, the hash values are different, and the dominant tones are different, so that referring to fig. 3, the second basis for positioning the rotation angle is not established, and a cracker can be interfered to determine the rotation angle of the image, and further the process of the cracker is interfered.

In some embodiments, the step 402 may include: and adjusting the color channel value of the pixel in the target hidden area to a second preset value.

Here, the second preset value may be set according to an actual application scenario, and is not limited herein.

As an example, if the transparent channel value of the target hidden area is smaller than the preset transparent channel threshold, the second preset value may be an arbitrary value (in the case that the transparent channel value is smaller than the preset transparent channel threshold, the target hidden area may not appear).

In some embodiments, the second preset value is 0.

It should be noted that, by adjusting the color channel value in the target hidden area to the second preset value (i.e. the same value), the boundary between the blank area and the image area is eliminated, and an image having the same image content as the target image can be made to have the same dominant hue as the target image, so that the anti-cracking effect can be generated for the following two cracking ways:

secondly, aiming at the cracking mode of calculating the hash value or determining the rotation angle by the dominant tone, the pixels of the target hidden area can be adjusted to be the same by aiming at the original images of the same material image at all angles, so that the dominant tone of the original images of the same material image at all angles can be the same, therefore, referring to fig. 3, the first basis for positioning the rotation angle is not established, and therefore, a cracker can be interfered to determine the rotation angle of the image, and further the process of the cracker is interfered.

In some embodiments, the step 402 may include: and adjusting the color channel value of the pixel in the target hidden area to be a random value.

Here, the color channel values of the pixels in the target hidden area are adjusted to random values, and since each pixel in the target hidden area is filled with a random value, the boundary between the blank area and the image area is eliminated; due to the randomness of the random values, random values are added to the target hidden areas of the original image to obtain target images, the hash values are different, and the keytones are different; therefore, the anti-cracking function can be generated aiming at the following two cracking modes:

secondly, aiming at the cracking mode of calculating the hash value or determining the rotation angle by the dominant tone, each original image can be obtained by adding random values to the target hidden area of the original image at each time, the hash values are different, and the dominant tones are different, so that referring to fig. 3, the second basis for positioning the rotation angle is not established, and therefore, a cracker can be interfered to determine the rotation angle of the image, and further the progress of the cracker is interfered.

In some application scenarios, the target control may indicate a "start" typeface. After the user clicks the target control indicating the start typeface, the execution main body can rotate the target image according to a preset rotation mode. And after the user clicks the target control for marking the start typeface, the typeface marked on the target control is changed into the stop typeface so as to prompt the user to click the target control for marking the stop typeface to stop the rotation of the target image.

Here, the preset rotation mode may include a constant rotation and/or a non-constant rotation.

In some embodiments, the step 102 may include: determining the operation degree according to the operation aiming at the target control; and determining the rotation angle of the target image according to the operation degree.

Here, if the specific parameter of the operation degree is related to the presentation form of the target control.

As an example, for a target control that includes a sled and a slider, the progress of the operation may be represented by the distance between the initial slider position and the current slider position.

By way of example, for a target control that includes a click trigger, the operable progress may be determined in terms of number of clicks. The rotation angle may then be determined based on the number of clicks. As an example, the first 5 clicks, each click with an angular increment of 0.5 degrees; starting with the 6 th click, the angular increment for each click is 0.2 degrees.

In some embodiments, the rotation angle and the operation degree have a linear or nonlinear relationship.

Please refer to the third point that the cracker depends on, and the "third point also needs to find the corresponding relationship between the operation degree and the angle difference". The rotation angle and the operation degree are in a nonlinear relationship, so that a cracker has difficulty in determining the corresponding relationship between the rotation angle and the operation degree, in other words, even if the target rotation angle of the picture to be rotated is obtained by cracking, the cracker cannot determine how to simulate the operation.

As an example, the target control comprises a slide block and a slide rail, and the distance between the current position and the initial position of the slide block is nonlinear with the rotation angle. Even if the cracker cracks to obtain the target rotation angle of the picture to be rotated, the cracker cannot determine which position on the slide rail indicates the target rotation angle, namely cannot determine which position on the slide rail the slide block slides to release the dragging operation.

In some embodiments, the method may further include: and displaying the operation prompt information. Here, the operation prompt information is used to indicate at least one of the following operations on the target control: the mode of operation and the target of operation.

As an example, the operation mode can be 'dragging slider'

As an example, the operation target may be "rotate the image to the forward position".

With further reference to fig. 6, as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an authentication apparatus, which corresponds to the embodiment of the method shown in fig. 1, and which is particularly applicable to various electronic devices.

As shown in fig. 6, the authentication apparatus of the present embodiment includes: a display unit 601, a rotation unit 602 and a verification unit 603; the display unit is used for displaying a target image and a target control, wherein the target control is used for rotating the target image; the rotating unit is used for rotating the target image according to the operation aiming at the target control; a verification unit configured to determine whether verification passes based on a parameter related to the operation; wherein the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area.

In this embodiment, specific processing of the display unit 601, the rotation unit 602, and the verification unit 603 of the verification apparatus and the technical effects thereof can refer to the related descriptions of step 101, step 102, and step 103 in the corresponding embodiment of fig. 1, which are not described herein again.

In some embodiments, the adjusting step further comprises: and adjusting the transparent channel value of the pixel in the target hidden area, wherein the adjusted transparent channel value is not greater than a preset transparent channel threshold value.

In some embodiments, the adjusted clear channel value is 0.

In some embodiments, the target hidden area includes a blank area and an image area; and the adjusting the color channel value of the pixel in the target hidden area comprises: and adjusting color channel values of pixels in the blank area and/or the image area.

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area comprises: determining boundary pixels of the blank area and the image area, wherein the boundary pixels are used for indicating the boundary of the blank area and the image area; determining a boundary adjustment area of the original image according to the boundary pixels; and adjusting the color channel value of the pixel in the boundary adjusting area to adjust the boundary of the blank area and the image area.

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area comprises: and adjusting the color channel value of the pixel in the image area to a first preset value.

In some embodiments, the first preset value is the same as the pixel value of the blank area.

In some embodiments, the adjusting the color channel values of the pixels in the blank area and/or the image area comprises: and adjusting the color channel value of the pixel in the blank area to a random value.

In some embodiments, the adjusting the color channel value of the pixel in the target hidden area comprises: and adjusting the color channel value of the pixel in the target hidden area to a second preset value.

In some embodiments, the second preset value is 0.

In some embodiments, the adjusting the color channel value of the pixel in the target hidden area comprises: and adjusting the color channel value of the pixel in the target hidden area to a random value.

In some embodiments, the electronic device performing the adjusting step is a server and/or a client.

Referring to fig. 7, fig. 7 illustrates an exemplary system architecture to which the validation method of one embodiment of the present disclosure may be applied.

As shown in fig. 7, the system architecture may include

terminal devices

701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the

terminal devices

701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The

terminal devices

701, 702, 703 may interact with a server 705 over a network 704 to receive or send messages or the like. The

terminal devices

701, 702, 703 may have various client applications installed thereon, such as a web browser application, a search-type application, and a news-information-type application. The client applications in the

terminal devices

701, 702, and 703 may receive the instruction of the user, and complete corresponding functions according to the instruction of the user, for example, add corresponding information to the information according to the instruction of the user.

The

terminal devices

701, 702, and 703 may be hardware or software. When the

terminal devices

701, 702, and 703 are hardware, they may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like. When the

terminal devices

701, 702, and 703 are software, they can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.

The server 705 may be a server providing various services, for example, receiving an information acquisition request sent by the

terminal devices

701, 702, and 703, and acquiring display information corresponding to the information acquisition request in various ways according to the information acquisition request. And the relevant data of the presentation information is sent to the

terminal devices

701, 702, 703.

It should be noted that the authentication method provided by the embodiment of the present disclosure may be executed by a terminal device, and accordingly, the authentication apparatus may be disposed in the

terminal devices

701, 702, and 703. In addition, the authentication method provided by the embodiment of the present disclosure may also be executed by the server 705, and accordingly, the authentication apparatus may be disposed in the server 705.

It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to fig. 8, shown is a schematic diagram of an electronic device (e.g., a terminal device or a server of fig. 7) suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 8, an electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 801 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data necessary for the operation of the electronic apparatus 800 are also stored. The processing apparatus 801, the ROM 802, and the RAM803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

Generally, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage 808 including, for example, magnetic tape, hard disk, etc.; and a communication device 809. The communication means 809 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 8 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 809, or installed from the storage means 808, or installed from the ROM 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: displaying a target image and a target control, wherein the target control is used for rotating the target image; rotating the target image according to the operation aiming at the target control; determining whether the verification passes based on a parameter associated with the operation; wherein the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area.

Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a cell does not in some cases constitute a limitation on the cell itself, for example, a presentation cell may also be described as a "cell presenting a target image and a target control".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A method of authentication, comprising:

displaying a target image and a target control, wherein the target control is used for rotating the target image;

rotating the target image according to the operation aiming at the target control;

determining whether the verification passes based on a parameter associated with the operation; wherein,

the target image is obtained based on an adjustment step for the original image, the adjustment step comprising: determining a target hidden area in the original image according to the hidden range information indicating the hidden area, and adjusting the color channel value of the pixel in the target hidden area.

2. The method of claim 1, wherein the adjusting step further comprises:

and adjusting the transparent channel value of the pixel in the target hidden area, wherein the adjusted transparent channel value is not greater than a preset transparent channel threshold value.

3. The method of claim 2, wherein the adjusted clear channel value is 0.

4. The method according to any one of claims 1-3, wherein the target hidden area comprises a blank area and an image area; and

the adjusting the color channel value of the pixel in the target hidden area comprises:

and adjusting color channel values of pixels in the blank area and/or the image area.

5. The method of claim 4, wherein the adjusting the color channel values of the pixels in the blank area and/or the image area comprises:

determining boundary pixels of the blank area and the image area, wherein the boundary pixels are used for indicating the boundary of the blank area and the image area;

determining a boundary adjustment area of the original image according to the boundary pixels;

and adjusting the color channel value of the pixel in the boundary adjusting area to adjust the boundary of the blank area and the image area.

6. The method of claim 4, wherein the adjusting the color channel values of the pixels in the blank area and/or the image area comprises:

and adjusting the color channel value of the pixel in the image area to a first preset value.

7. The method of claim 6, wherein the first preset value is the same as a pixel value of the blank area.

8. The method of claim 4, wherein the adjusting the color channel values of the pixels in the blank area and/or the image area comprises:

and adjusting the color channel value of the pixel in the blank area to a random value.

9. The method according to any one of claims 1-3, wherein the adjusting the color channel values of the pixels in the target hidden region comprises:

and adjusting the color channel value of the pixel in the target hidden area to a second preset value.

10. The method of claim 8, wherein the second predetermined value is 0.

11. The method according to any one of claims 1-3, wherein the adjusting the color channel values of the pixels in the target hidden region comprises:

and adjusting the color channel value of the pixel in the target hidden area to a random value.

12. The method according to any of claims 1-3, wherein the electronic device performing the adjusting step is a server and/or a client.

13. An authentication apparatus, comprising:

the display unit is used for displaying a target image and a target control, wherein the target control is used for rotating the target image;

the rotating unit is used for rotating the target image according to the operation aiming at the target control;

a verification unit configured to determine whether verification passes based on a parameter related to the operation; wherein,

14. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-12.

15. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-12.