Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Color image encryption method based on fractional order discrete neural network and DNA operation

A technology of neural network and encryption method, which is applied in the field of color image encryption based on fractional discrete neural network and DNA operation, which can solve problems such as complex dynamic behavior, ciphertext cannot resist noise and information loss attacks, and small key space , to achieve the effect of coping with noise and clipping attacks

Active Publication Date: 2020-02-25
HEFEI UNIV OF TECH
View PDF8 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0050] Aiming at the defects of the prior art, the present invention provides a color image encryption method based on fractional discrete neural network and DNA operation, which solves the problems caused by traditional chaotic encryption using integer-order chaotic system, the dynamic behavior is not complex enough, and the secret key space is relatively large. small problem
Solve the problem that ciphertext cannot resist noise and information loss attacks during transmission

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Color image encryption method based on fractional order discrete neural network and DNA operation
  • Color image encryption method based on fractional order discrete neural network and DNA operation
  • Color image encryption method based on fractional order discrete neural network and DNA operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0115] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0116] (1) Concept preparation

[0117] (1.1) Fractional discrete Hopfield neural network

[0118] The DNA encryption algorithm based on the fractional chaotic neural network is different from the conventional chaotic encryption algorithm. We use the fractional discrete Hopfield neural network as a pseudo-random number generator. The Hopfield neural network was proposed by American scientists in 1982. The general form is as follows :

[0119]

[0120] in Its specific form is as follows:

[0121]

[0122] Here are some basic definitions of fractional calculus:

[0123] The fractional order β∈R of the known function f(t) + , when t>0 is defined as follows

[0124]

[0125] Let the order α∈(n-1,n) of the function f(t) be defined as follows ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a color image encryption method based on a fractional order discrete neural network and DNA operation. The method comprises the following steps: S1, establishing an initial value; s2, scrambling pixels among the three color components R, G and B; s3, calculating a DNA code; s4, in order to further improve the encryption security, giving a plaintext-independent DNA diffusionalgorithm based on DNA operation; s5, carrying out secondary scrambling and XOR, wherein secondary scrambling is used for disturbing the positions of elements in the three signal channels. The methodhas the advantages that 1, the problems that the dynamic behavior is not complex enough and the secret key space is small due to the fact that an integer order chaotic system is used in traditional chaotic encryption are solved; 2, the problems of single encryption rule and insensitivity to plaintexts and secret keys of partial DNA encryption algorithms are solved; and 3, the problem that the ciphertext cannot resist noise and information loss attacks in the transmission process is solved; and 4, noise and shear attacks can be dealt with.

Description

technical field [0001] The invention relates to the technical field of image encryption, in particular to a color image encryption method based on fractional discrete neural network and DNA operation. Background technique [0002] With the rapid development of computer and Internet technology, the overall quantity and transmission speed of multimedia information have been greatly improved, which greatly facilitates the daily life of network users. However, due to the openness of the Internet, the large amount of multimedia information generated during user communication Security is difficult to guarantee. While color images are an important part of multimedia information, the security and integrity of digital images in the transmission process are increasingly concerned. Image encryption technology is undoubtedly an effective means to ensure the security of image information. Images have the characteristics of large data capacity and strong correlation between pixels. Trad...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/60H04L9/00
CPCG06F21/602G06F2221/2107H04L9/001
Inventor 陈立平尹昊吴晓波陈雨
Owner HEFEI UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products