Triple color image encryption based on 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform

Joshi, Anand B.; Kumar, Dhanesh; Gaffar, Abdul; Mishra, D.C.

doi:10.1016/j.optlaseng.2020.106139

Cited by 70 publications

(30 citation statements)

References 32 publications

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“…Step 11: iterate equation (2) under system parameter p and initial condition t 0 . e revolving control sequence RS5 and the key sequence KS1 are generated by equations (32) and (33), respectively:…”

Section: Decryption Algorithmmentioning

confidence: 99%

“…In [32], Zhu et al use block compressive sensing and singular value decomposition embedding to balance the security, compression, and robustness. In [33], an image encryption scheme is proposed by using 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform. You et al [34] proposed a parallel image encryption scheme and implemented by OpenCL.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Effective Chaos‐Based Image Encryption Scheme Using Imitating Jigsaw Method

Peng

Tan

et al. 2021

Complexity

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In this paper, an efficient chaos-based image encryption scheme is proposed, which uses the imitating jigsaw method containing revolving and shifting operations. In this scheme, there are three processes in encryption: preprocessing, encryption process, and postprocessing. In the preprocessing, the original image is partitioned into 64 × 64 pixel image blocks and then randomly revolved and shifted under control sequences which are generated by the hyperchaotic Lorenz system whose initial conditions are calculated by original image and keys. Therefore, the preprocessing is sensitive to plain image against differential attacks. In the encryption process, the after-preprocessing image is partitioned into 32 × 32 pixel image blocks; next they are randomly revolved and encrypted by control sequence and key blocks which are generated by the skew tent map. In postprocessing, the after-encryption image is partitioned into 16 × 16 pixels’ image blocks, and they are randomly revolved and shifted again under control sequences which are related with encrypted image and keys. The postprocessing further increases the diffusion characteristics. Moreover, the test experiment and security analyses are given; the results show that our proposed cryptosystem has both security and speed performance.

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Section: Decryption Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Chaos‐Based Image Encryption Scheme Using Imitating Jigsaw Method

Peng

Tan

et al. 2021

Complexity

View full text Add to dashboard Cite

show abstract

“…However, the proposed algorithm encrypts only RGB images, and not other types of digital images. Besides these, several other methods [22][23][24][25] have also been proposed in the literature for the security of digital images.…”

Section: Related Workmentioning

confidence: 99%

Securing Digital Images using Stream Cipher and MDS Matrix

2021

Self Cite

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This is an improved and extended version of the paper presented in CVIP 2020 conference. Stream ciphers are extensively used over a wide range of applications including security of digital data. In this paper, a method for securing different types of images (binary, gray scale, true color, and index) based on stream cipher (RC4A) and MDS (Maximum Distance Separable) matrix is proposed. The method adopts the framework of the Permutation-Substitution Network (PSN) of cryptography, and thus satisfies both confusion and diffusion properties required for a secure encryption algorithm. The proposed method encrypts a digital image into a random-like image from human visual as well as statistical point of view. Several encryption evaluation metrics, such as key sensitivity, chi-squared test, adjacent pixels correlation coefficient, irregular deviation, number of pixel change rate, unified averaged changed intensity, etc., are applied on test images taken from MATLAB IPT and USC-SIPI image database, to empirically assess the performance of the proposed method. The results of these statistical and security tests support the robustness of the proposed approach.

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“…After that, a variety of image encryption algorithms have been put forward in the sspatial domain. These image encryption methods can be roughly classified as: (1) image encryption that is based on transformation matrixes [4][5][6]. This kind of algorithm mainly used the transformation matrix like magic cube transformation and Arnold cat map to permutation, and then used the chaotic system for diffusion.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Peng

Tan

et al. 2021

Sensors

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With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.

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Triple color image encryption based on 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform

Cited by 70 publications

References 32 publications

An Effective Chaos‐Based Image Encryption Scheme Using Imitating Jigsaw Method

An Effective Chaos‐Based Image Encryption Scheme Using Imitating Jigsaw Method

Securing Digital Images using Stream Cipher and MDS Matrix

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

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