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Quantum cellular neural network based video chaotic encryption method

A neural network, chaotic encryption technology, applied in biological neural network models, secure communication through chaotic signals, neural architecture, etc. Space, huge anti-attack performance, high encryption efficiency

Active Publication Date: 2017-06-13
CHANGCHUN UNIV OF SCI & TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The present invention provides a video chaotic encryption method based on quantum cellular neural network to solve the problems of slow encryption speed, damaged video encoding format, poor real-time video transmission and poor security in existing encryption methods.

Method used

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  • Quantum cellular neural network based video chaotic encryption method
  • Quantum cellular neural network based video chaotic encryption method
  • Quantum cellular neural network based video chaotic encryption method

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specific Embodiment approach 1

[0023] Specific implementation mode 1. Combination Figure 1 to Figure 6 Describe this embodiment, the video chaos encryption method based on quantum cellular neural network, figure 1 It is a schematic diagram of the key generation of the encryption method in this embodiment, and the key generation process is described in the following steps A1 to F1.

[0024] According to the H.264 video encoding standard, the encryption process of the video encryption method of the present invention is as follows: figure 2 As shown, the specific implementation details of the key generation module are as follows figure 1 , which is realized by step A1 to step F1.

[0025] A1. Take a two-cell quantum cellular neural network hyperchaotic system, and its state equation is:

[0026]

[0027] where x 1 ,x 2 ,x 3 ,x 4 is the state variable; ω 1 , ω 3 Proportional to the energy between quantum dots in each cell, ω 2 , ω 4 Represents the weighted influence of the difference in polariza...

specific Embodiment approach 2

[0074] Specific embodiment two, combine figure 2 , Figure 5 and Figure 6 This embodiment is described. This embodiment is another embodiment of the first embodiment: the key generation process and the encryption process in the embodiment are the same as those in the first embodiment.

[0075] combine Figure 5 To illustrate this embodiment, select the "person" video data in cif format with a size of 352*288. This embodiment operates under the JM8.6 basic mode of H.264, the video length is 30 frames, and the I frame interval is 8, where extract Figure 5 The 20th frame of the original image.

[0076] Figure 6 It is the ciphertext image of the 20th frame image of the "person" video data in this embodiment encrypted by the video encryption method of the present invention.

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Abstract

The invention discloses a quantum cellular neural network based video chaotic encryption method, relates to the technical field of video encryption and solves the problems such as relatively slow encryption speed, destruction of the coding format of a video, poor video transmission real-time performance and poor safety of the existing encryption method. The quantum cellular neural network based video chaotic encryption method comprises the steps of performing iteration solution on two cellular quantum cellular neural network hyper-chaotic systems to generate a matrix A; performing matrix transformation on the A to generate a chaotic sequence K and an index sequence Index; dividing the chaotic sequence K to generate an initial key pool; regarding elements in the index sequence Index as initial values of Logistic chaotic mapping, respectively and iterating to generate two chaotic index sequences and transforming to obtain two integer sequences; regarding the integer sequences as indexes respectively and carrying the indexes into the initial key pool to calculate and generate a Boolean key KeyB; dividing the Boole key KeyB into keyb1 and keyb2; encrypting the exponential-Golomb encoding information bit of H.264 by using the keyb1; and regarding the keyb2 as a key to encrypt the encoding data of the H.264 to realize video chaotic encryption of the quantum cellular neural network.

Description

technical field [0001] The invention relates to the technical field of video encryption, in particular to a video encryption method based on a quantum cellular neural network hyperchaotic system. Background technique [0002] With the development of social networks and the popularity of smartphones with camera functions, people can easily obtain video information through video websites and social software, which makes people's demand for video security surge. However, most videos are stored and transmitted in plain text, video data It's easy to steal. Once a video involving personal privacy is leaked, it will have an inestimable impact. The clear text transmission of video data also involves copyright issues of video content. Therefore, the video security problem has received more and more attention and has become one of the research topics to be solved urgently. [0003] In recent years, researchers have proposed many different kinds of video encryption schemes. Accordi...

Claims

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Application Information

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IPC IPC(8): H04L9/00H04N21/4408H04N19/70H04N19/46G06N3/04
CPCG06N3/0418H04L9/001H04N19/46H04N19/70H04N21/4408
Inventor 李锦青底晓强从立钢闫飞祁晖赵建平任维武王欢
Owner CHANGCHUN UNIV OF SCI & TECH
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