Chaos-based color image encryption scheme in the wavelet domain

Zhang, Qiong; Shen, Minfen; Li, Bin; Fang, Ruoyu

doi:10.1109/cisp.2014.7003801

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Because much information about the image is concentrated in the low-frequency coefficient of the wavelet transform [19], changing this information will result in the influence of the wavelet transform on the pixel value of the entire image space. It is more conducive to the encryption effect than only using the chaotic sequence for diffusion operation.…”

Section: Complex Chaotic Image Encryption Algorithm Based On Wavelet ...mentioning

confidence: 99%

Chaotic Image Encryption Algorithm Based on Wavelet Transform

Liu,

Shi

2023

JAMC

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Image encryption algorithm based on the chaotic system has the characteristics of large key space, sensitive initial value, and fast encryption speed, so it has become an important research object in the field of image encryption. To improve the ability of current chaotic image encryption algorithms to resist selective plaintext attacks and to reduce the burden of public network transmission, an image encryption algorithm based on wavelet transform and chaotic system is proposed. The wavelet transform is first applied to the image, the low-frequency sub-band image is extracted, and then the low-frequency sub-band image is scrambled using ZigZag coding. The new chaotic sequence is then cyclically shifted with the Chebychev chaotic sequence to obtain the encrypted image. The obtained encrypted images are subjected to grayscale histogram, adjacent pixel correlation, information entropy, and anti-noise detection. The obtained results are closer to the theoretical values than the values in the references, and the algorithm is proven to have a good encryption effect.

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Section: Complex Chaotic Image Encryption Algorithm Based On Wavelet ...mentioning

confidence: 99%

Chaotic Image Encryption Algorithm Based on Wavelet Transform

Liu,

Shi

2023

JAMC

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“…Wavelet: The wavelet change is in many cases used to rearrange the cells of a 2D lattice, which may extraordinarily work on the viability of encryption [41]. An improved 3D feline guide [42], a 1D strategic guide [43], a 3D calculated map [44], the Arnold map [45,46], and a strategic succession [46] are just a portion of the turbulent sources that have been joined with the wavelet change to meet the turmoil basis of phenomenal encryption.…”

Section: The Present Image Technology Statementioning

confidence: 99%

Chaotic Map Based Raster Data Encryption for Geospatial Data

Bhangale,

Vaikole

2023

IJSSE

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Data confidentiality, security authentication are just some of the many uses for image encryption, making it one of the most effective methods for safeguarding geospatial data. However, even with advancements in an encryption algorithms still face challenges in terms of both security and speed. However, limitations in key space, complexity of algorithms, make it susceptible to assaults plague present in image encryption methods. Considering the restrictions of past strategies, we've formulated a brought together way to deal with raster data encryption by consolidating shuffled raster Output, Chirikov and Chebyshev chaotic map. At the point image is the constant raster is first shuffled by shuffling method to muddle the pixels of each block. The randomization characteristic in keys generated by Chirikov and Chebyshev Chaotic maps will be used to encode raster data. Encryption is performed rapidly utilizing the recommended approach. The reenactment results exhibit the adequacy and reasonableness of the method for safeguarding raster geospatial data.

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“…The wavelet transform is a popular method of permutating the cells of a 2D matrix and can yield a significant increase in encryption effectiveness [103]. To fulfill the chaos requirement of good encryption, several chaos sources have been paired with the wavelet transform including an improved 3D cat map [104], a 1D logistic map [105], a 3D logistic map [106], the Arnold map [107,108], and a logistic sequence [108]. Other algorithms utilizing variations of the standard wavelet transform such as the Integer Wavelet Transform (IWT) have also been proposed [109].…”

Section: Waveletmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.

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Chaos-based color image encryption scheme in the wavelet domain

Cited by 5 publications

References 14 publications

Chaotic Image Encryption Algorithm Based on Wavelet Transform

Chaotic Image Encryption Algorithm Based on Wavelet Transform

Chaotic Map Based Raster Data Encryption for Geospatial Data

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

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