Advanced framework for highly secure and cloud‐based storage of colour images

Chidambaram, Nithya; Raj, Pethuru; Thenmozhi, K.; Amirtharajan, Rengarajan

doi:10.1049/iet-ipr.2018.5654

Cited by 44 publications

(24 citation statements)

References 33 publications

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“…[60] Ref. [ Moreover, compared with schemes [63] and [64], the calculated data is closer to the theoretical value, so the proposed algorithm has higher security.…”

Section: Algorithmmentioning

confidence: 78%

An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit

Cao

et al. 2021

IEEE Access

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Based on compressive sensing and fractional-order simplest memristive chaotic system, this paper proposes an image compression and encryption scheme. First, a fractional-order simplest memristive chaotic circuit system is designed. The dynamic characteristics of the chaotic system are analyzed by the phase diagram, the Lyapunov exponents spectrum, and the bifurcation diagram to determine the parameters and pseudo-random sequences used in the encryption scheme. Secondly, an encryption scheme based on compressive sensing is designed. This scheme compresses the image twice to fully reduce the storage cost, and scrambles the pixel matrix twice through block scrambling and zigzag transformation, and then uses chaotic pseudo-random sequence and GF (17) domain diffusion image matrix to obtain the final cipher image. Finally, simulation results and performances analysis indicate that the scheme still has good reconstruction performance, even when the compression ratio is 0.25, and the security analysis shows that it can resist various attacks and has high security. INDEX TERMS Image encryption; Compressive sensing (CS); Fractional-order simplest memristive chaotic system

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“…[60] Ref. [ Moreover, compared with schemes [63] and [64], the calculated data is closer to the theoretical value, so the proposed algorithm has higher security.…”

Section: Algorithmmentioning

confidence: 78%

An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit

Cao

et al. 2021

IEEE Access

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“…Global Shannon entropy reflects the total randomness of image, and it has certain limitations in some occasions. erefore, local Shannon entropy (LSE) was proposed by Wu et al [58,59]. To measure local entropy, we first randomly select k nonoverlapping image blocks B 1 , B 2 , .…”

Section: Local Shannon Entropymentioning

confidence: 99%

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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“…Plaintext sensitivity analysis refers to encrypting two plain images with the same secret key, and comparing the differences between the two corresponding cipher images. The main indicators are NPCR and UACI [45][46]. If only the pixel values of (i, j) in the two plain images are different, the pixel values at (i, j) in their encrypted images are 1 ( , ) and 2 ( , ), respectively.…”

Section: E Plaintext Sensitivity Analysismentioning

confidence: 99%

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

Huang¹,

Jiang²,

An³

et al. 2021

IEEE Access

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In this paper, a novel double-image compression-encryption algorithm is proposed by combining Rossler hyperchaos and compressive sensing. In the proposed scheme, the sparse matrixes obtained by performing two-dimensional discrete wavelet transform on two plain images are first scrambled and compressed by index confusion and compressive sensing. Next, the compressed matrixes are linearly quantized, and then variable step length Josephus confusion and bitwise exclusive-OR operation are performed on them. The final noise-like cipher image is generated by hiding half of the encrypted image into the alpha channel of the other half of encrypted image. In order to realize "One cipher image corresponds to one key", a novel key generation mechanism is designed. Finally, the simulation analyses indicate that the proposed double-image encryption scheme has high transmission efficiency. Meanwhile, the average local information entropy of the cipher image is about 0.902 and the decryption quality is as high as 30 dB.

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Advanced framework for highly secure and cloud‐based storage of colour images

Cited by 44 publications

References 33 publications

An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit

An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit

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

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

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