Image encryption scheme by combining the hyper-chaotic system with quantum coding

Luo, Yuling; Tang, Shunbin; Liu, Junxiu; Cao, Lvchen; Qiu, Senhui

doi:10.1016/j.optlaseng.2019.105836

Cited by 80 publications

(26 citation statements)

References 47 publications

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“…Subsequently, a quantum image encryption algorithm was proposed based on the generalized Arnold transform and double random phase encoding technique. Meanwhile, Luo et al 27 proposed an image encryption scheme based on quantum coding. The classical digital image data is mapped to the quantum state, which ensures the accurate extraction of the classical image.…”

Section: Introductionmentioning

confidence: 99%

An image encryption scheme based on public key cryptosystem and quantum logistic map

Jiao

Huang

et al. 2020

Sci Rep

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Most of existing image encryption schemes are proposed in the spatial domain which easily destroys the correlation between pixels. This paper proposes an image encryption scheme by employing discrete cosine transform (DCT), quantum logistic map and substitution-permutation network (SPN). The DCT is used to transform the images in the frequency domain. Meanwhile, the SPN is used to provide the security properties of confusion and diffusion. The SPN provides fast encryption as compared to the asymmetric based image encryption since operations with low computational complexity are used (e.g., exclusive-or and permutation). Different statistical experiments and security analysis are performed against six grayscale and color images to justify the effectiveness and security of the proposed image encryption scheme.

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Section: Introductionmentioning

confidence: 99%

An image encryption scheme based on public key cryptosystem and quantum logistic map

Jiao

Huang

et al. 2020

Sci Rep

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“…Chai et al [24] designed an encryption approach for color images utilizing a 4D memristive hyperchaotic map with genetic recombination. Luo et al [25] developed an image encryption approach based on quantum coding and hyperchaos system. Kumar Patro and Acharya [26] proposed an image encryption approach utilizing a piece-wise linear chaotic map (PWLCM).…”

Section: Chaos-based Image Encryption Approachesmentioning

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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“…Histogram describes the distribution of pixel values in an image. A secure cipher image encryption method should have a uniform histogram [38][39][40][41]. Generally speaking, a natural image should follow a regular distribution, while the secure encryption method should force the cipher image to follow a consistent distribution.…”

Section: Histogram Of Analysismentioning

confidence: 99%

A Novel Selective Encryption Method Based on Skin Lesion Detection

Zhang

et al. 2020

Mathematical Problems in Engineering

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Due to the semitrusted cloud, privacy protection of medical images in medical imaging clouds has become a precondition. For the privacy of patients and the security of medical images in the cloud, this paper proposes a selective encryption based on DNA sequence and chaotic maps for skin lesion image. Initially, we design a transition region-based level set evolution functional which is merged into a variational level set expression with two extra energy functionals, to segment skin lesion image. Once skin lesion detection has been performed, the detected skin lesion pixels are encrypted by employing chaotic systems and DNA sequences. We apply 2D-LASM and 1D-LSS to produce the pseudorandom sequences and use the hash function of the plaintext image to calculate the secret keys of the encryption system. Results demonstrate that the proposed segmentation method is particularly suitable for the detection of skin lesion images with strong noise and complex background. Meanwhile, security analysis also reveals that this selective encryption has a large security key space and high sensitivity to the plaintext image and the secret key.

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Image encryption scheme by combining the hyper-chaotic system with quantum coding

Cited by 80 publications

References 47 publications

An image encryption scheme based on public key cryptosystem and quantum logistic map

An image encryption scheme based on public key cryptosystem and quantum logistic map

Computational Image Encryption Techniques: A Comprehensive Review

A Novel Selective Encryption Method Based on Skin Lesion Detection

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