Image encryption algorithm based on blocking DNA encoding and even scrambling

Abstract

The invention discloses an image encryption algorithm based on blocking DNA encoding and even scrambling. The image encryption algorithm includes two portions: evenly scrambling pixel positions of images by combining a chaotic sequence generated by a Logistic chaotic mapping with Arnold cat conversion; scrambling pixel values of images by Lorenz chaotic mapping and DNA encoding. Finally, the two portions are combined to obtain the image encryption algorithm which can be used for encrypting square images.

Description

Technical field:

[0001] The invention relates to a digital image encryption algorithm, in particular to an image encryption algorithm based on block DNA coding and uniform scrambling. Background technique:

[0002] With the continuous improvement of the country's modernization, people pay more and more attention to the storage, transmission and application security of image data. The traditional encryption algorithms mainly include: DES algorithm, AES algorithm and elliptic encryption algorithm, etc., but the traditional encryption algorithm is Designed for text data, it is not suitable for image data with a huge amount of information.

[0003] As the mainstream encryption technology in recent years, chaotic encryption technology is not safe for single use, so the encryption algorithm that combines chaos technology with other technologies has gradually been developed. Due to the characteristics of chaos theory, the algorithm mostly applies chaos technology to key generation....

Examples

Embodiment Construction

[0031] 1. The initial value of the Logistic chaotic map x=0.683, y=0.172, μ 1 = 3.8 and μ 2 =3.9, the initial value of a=0.533, b=0.221 and c=0.898 of the Lorenz chaotic map, the initial value of the number of blocks B is 16, the initial value of the number of iterations clp1=10, clp2=10.

[0032] 2, figure 1 (a)- figure 1 (c) is an encryption and decryption effect diagram obtained by performing a simulation experiment on a 256×256 lung CT grayscale image. figure 1 (a) is the original grayscale lung CT image, figure 1 (b) is an encrypted image, figure 1 (c) is the decrypted image.

[0033] 3. figure 2 (a)- figure 2 (b) is the effect diagram of the gray histogram analysis of the lung CT image before and after encryption. Through comparison, it can be found that the pixel values ​​of the gray histogram before encryption are concentrated on some values, but the pixel distribution of the gray histogram of the image after encryption is relatively uniform, which shows that...

Technical field:

[0001] The invention relates to a digital image encryption algorithm, in particular to an image encryption algorithm based on block DNA coding and uniform scrambling. Background technique:

[0002] With the continuous improvement of the country's modernization, people pay more and more attention to the storage, transmission and application security of image data. The traditional encryption algorithms mainly include: DES algorithm, AES algorithm and elliptic encryption algorithm, etc., but the traditional encryption algorithm is Designed for text data, it is not suitable for image data with a huge amount of information.

[0003] As the mainstream encryption technology in recent years, chaotic encryption technology is not safe for single use, so the encryption algorithm that combines chaos technology with other technologies has gradually been developed. Due to the characteristics of chaos theory, the algorithm mostly applies chaos technology to key generation....

Examples

Embodiment Construction

[0031] 1. The initial value of the Logistic chaotic map x=0.683, y=0.172, μ 1 = 3.8 and μ 2 =3.9, the initial value of a=0.533, b=0.221 and c=0.898 of the Lorenz chaotic map, the initial value of the number of blocks B is 16, the initial value of the number of iterations clp1=10, clp2=10.

[0032] 2, figure 1 (a)- figure 1 (c) is an encryption and decryption effect diagram obtained by performing a simulation experiment on a 256×256 lung CT grayscale image. figure 1 (a) is the original grayscale lung CT image, figure 1 (b) is an encrypted image, figure 1 (c) is the decrypted image.

[0033] 3. figure 2 (a)- figure 2 (b) is the effect diagram of the gray histogram analysis of the lung CT image before and after encryption. Through comparison, it can be found that the pixel values ​​of the gray histogram before encryption are concentrated on some values, but the pixel distribution of the gray histogram of the image after encryption is relatively uniform, which shows that...

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