Research On Anti-Peeping Passcode Keyboard Based On Self-adaptive Hybrid Image

The passcode keyboard as a special password input tool,that is widely used in daily life.However,the traditional mobile phone passcode keyboard can't resist the smear attack and the shoulder attack,so it can't protect the user's privacy.Based on the above problems,this thesis proposes an anti-peeping passcode keyboard for adaptive hybrid images.The main functions implemented are as follows: Firstly,the user sees different digital image information at different distances.Secondly,the image effect can be dynamically changed according to the distance,and the automatic adjustment of the user's demand can be realized.The first function is implemented by hybrid images,and the second function is implemented by techniques such as fuzzy logic and self-adaptation.1.Replacing the digital image of the traditional passcode keyboard with a hybrid image solves the problem that the conventional passcode keyboard has no anti-peeping function.The hybrid image sees different image effects at different distances,and when viewing the hybrid image sideways,the user will see a blurred digital image or other number,thus enabling the hiding of real digital information.However,the hybrid image algorithm cannot be used directly for different development tools,because there is no corresponding library of image processing algorithms.Aiming at the above problems,an image separation algorithm based on spatial domain and a hybrid image algorithm based on spatial domain are proposed.2.Because each person's definition of image blur may be different,and the optimal distance for each person to use the phone may be different.In response to the above problems,this thesis uses fuzzy logic and adaptive technology to solve the user's use problems.Firstly,eye-to-screen distance acquisition is achieved using a front camera and associated algorithms.Then,using the distance from the eye to the screen and the brightness of the screen as input,a fuzzy model of the blurred image is established.Finally,the adaptive adjustment of the image blur effect is achieved by the adaptive principle.Based on the existing Android platform,the adaptive anti-peeping passcode keyboard software is designed and developed.Firstly,the feasibility and effectiveness of the scheme are verified by experiments.Then test the function of each part of the software,and find that the actual effect shows that the functions of each part are normal,and the application refresh time is between 0.42 s and 0.51 s.Finally,through user testing,the program was found to reduce the impact of shoulder attacks.It has also been found that because of the randomness of the image numbers,it can also solve the Smudge attack problem of the passcode keyboard.In summary,the solution solves the anti-peep problem of the passcode keyboard.