A novel quantum image encryption algorithm based on crossover operation and mutation operation

Liu, Hui; Zhao, Bo; Huang, Linquan

doi:10.1007/s11042-019-7186-3

Cited by 36 publications

(20 citation statements)

References 24 publications

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“…Quantum chaos is based on the quantum system displaying chaotic dynamics within a given range. The very lowest-quantum corrections cause additive noise and quantum chaos, so the advantage of chaotic encryption is high-level security [13]. Several previous works were designed to perform data hiding including the Echo hiding method [14], Phase and amplitude coding methods [15].…”

Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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In this paper, a new technique that hides a secret text inside a speech signal without any apparent noise is presented. The technique for encoding the secret text is through first scrambling the text using Chaotic Map, then encoding the scraped text using the Zaslavsky map, and finally hiding the text by breaking the speech signal into blocks and using only half of each block with the LSB, K-means algorithms. The measures (SNR, PSNR, Correlation, SSIM, and MSE) are used on various speech files (“.WAV”), and various secret texts. We observed that the suggested technique offers high security (SNR, PSNR, Correlation, and SSIM) of an encrypted text with low error (MSE). This indicates that the noise level in the speech signal is very low and the speech purity is high, so the suggested method is effective for embedding encrypted text into speech files.

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Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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“…We conducted simulation experiments and listed all the results in this section. In order to reflect the advantages of this algorithm, we compared this algorithm with some representative algorithms [4,12,33,34,[42][43][44].…”

Section: Simulation Results and Security Analysismentioning

confidence: 99%

“…Although the value of Lena in this article is inferior to Refs. [42], it is better than other six Refs [4,12,33,34,43,44]. .…”

Section: Correlation Testmentioning

confidence: 89%

A new chaotic image encryption algorithm based on transversals in a Latin square

Shen¹,

Shan²,

Tian³

2022

Preprint

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There are some good combinatorial structures suitable for image encryption. In this study, a new chaotic image encryption algorithm based on transversals in a Latin square is proposed. By means of an n-transversal of a Latin square, we can permutate an image data group by group for the first time, then use two Latin squares for auxiliary diffusion on the basis of a chaotic sequence, finally make use of a pair of orthogonal Latin squares to do the second scrambling. As a whole, the encryption process of "scrambling-diffusion-scrambling" is formed. The experimental results indicate that this algorithm achieves a secure and fast encryption effect. The final information entropy is very close to 8, and the correlation coefficient is approximate to 0. All these tests verify the robustness and practicability of this proposed algorithm.

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“…Abbr. Expectation Key space analysis [3] KA Large key size (more than 2 100 ) Histogram analysis [1] HA Pixels should uniformly distribute Information entropy [10] IE Equal to 8, for a 256-gray level image Noise attack [11] NA Ought to be safe to noise attacks Correlation coefficient [12] CC Near to 0 Mean squared error [13] MSE Minimum…”

Section: Evaluation Parametermentioning

confidence: 99%

Computational Image Encryption Techniques: A Comprehensive Review

Kaur

Singh

Kaur

2021

Mathematical Problems in Engineering

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Images contain very sensitive and confidential information. Because images play a significant role in many applications such as military communication, remote-sensing, and medical-imaging, therefore, it is necessary to protect sensitive and confidential information from unauthorized use and modification. To achieve this objective, encryption is one of the best methods among the information hiding methods. In recent years, many image encryption approaches are designed by the researchers. They use different concepts for image encryption to increase security. The main aim of this paper is to present a comprehensive review of the existing image encryption approaches. These approaches are categorized based on different concepts such as chaotic maps, DNA, compressive sensing, and optical image encryption. Comparisons are made among the existing approaches to access the various security parameters. Key performance metrics are also presented. The future scope of image encryption is also presented to encourage the research community.

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A novel quantum image encryption algorithm based on crossover operation and mutation operation

Cited by 36 publications

References 24 publications

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

A new chaotic image encryption algorithm based on transversals in a Latin square

Computational Image Encryption Techniques: A Comprehensive Review

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