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A Bit-Oriented Image Scrambling Method Based on Bionic Cellular Automata

A cellular automata and image scrambling technology, applied in image data processing, image data processing, instruments, etc., can solve the problems of difficult statistical analysis, selected plaintext attack, poor security, etc., to achieve resistance to selected plaintext attack, good setting The effect of chaos

Active Publication Date: 2018-05-11
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, the above-mentioned image scrambling methods are usually in units of pixels, only changing the position of the pixel, not changing the pixel value, so that the histogram of the scrambled image is the same as the histogram of the plaintext image, and it is difficult to statistically analyze and select the plaintext attack. poor security

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  • A Bit-Oriented Image Scrambling Method Based on Bionic Cellular Automata
  • A Bit-Oriented Image Scrambling Method Based on Bionic Cellular Automata
  • A Bit-Oriented Image Scrambling Method Based on Bionic Cellular Automata

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Embodiment Construction

[0025] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0026] The present invention designs a bit-oriented image scrambling method based on bionic cellular automata. The bit-oriented image scrambling method is adopted in the present invention, which can simultaneously change the pixel position and pixel value in the image, and has a good scrambling effect. And it can resist chosen plaintext attack.

[0027] Embodiment of the present invention adopts Mathematica 8 software to carry out simulation, provides an embodiment of the present invention below: ...

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Abstract

The invention discloses a bit-oriented image scrambling method based on bionic cellular automata. The scrambling steps of the method are: first extracting the pixel matrix of the plaintext image, then converting the pixel matrix of the plaintext image into a binary matrix, and then Assign the initial value to the bionic cellular automaton, and the bionic cellular automaton performs K-step iterations according to the rule B3 / S1234, and finally uses the results of each iteration of the bionic cellular automaton to realize image scrambling. The method of the invention can simultaneously change the pixel position and pixel value in the image, has good scrambling effect, and can resist chosen plaintext attack.

Description

technical field [0001] The invention relates to image security technology in the field of information security, in particular to a bit-oriented image scrambling method based on bionic cellular automata. Background technique [0002] Digital image scrambling refers to scrambling the image to eliminate positional or gray-scale correlation, so that humans or computer systems cannot understand the true meaning expressed by the original image. Digital image scrambling technology can be regarded as a way of digital image encryption, and can also be used as a pre-processing and post-processing process for digital image hiding, digital watermark image implantation and digital image secret sharing. [0003] Common image scrambling methods include Arnold transform, Fibonacci-Q transform, magic square transform, knight parade transform, Hilbert curve, chaos sorting method, etc. However, the above-mentioned image scrambling methods are usually in units of pixels, only changing the posi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
Inventor 平萍毛莺池许峰许国艳戚荣志吕鑫
Owner HOHAI UNIV
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