Security analysis of a three‐dimensional rotation‐based image encryption

Nini, Brahim; Lemmouchi, Chahra

doi:10.1049/iet-ipr.2014.0702

Cited by 7 publications

(3 citation statements)

References 17 publications

(18 reference statements)

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“…It is clear that the correlation coefficient of the proposed algorithm is smaller than that of other methods proposed in Refs. [16], [17], [23]- [26]. [17] 0.002 0.0062 0.0066 Ref.…”

Section: Correlation Analysismentioning

confidence: 99%

Iterative Time-Varying Filter Algorithm Based On Discrete Linear Chirp Transform

Alkishriwo

Elghariani

Akan

2018

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1

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A B S T R A C TDenoising of broadband non--stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete linear chirp transform (DLCT), which provides local signal decomposition in terms of linear chirps. The method relies on the ability of the DLCT for providing a sparse representation to a wide class of broadband signals. The performance of the proposed algorithm is compared with the discrete fractional Fourier transform (DFrFT) filtering algorithm. Simulation results show that the DLCT algorithm provides better performance than the DFrFT algorithm and consequently achieves high quality filtering.

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“…It is clear that the correlation coefficient of the proposed algorithm is smaller than that of other methods proposed in Refs. [16], [17], [23]- [26]. [17] 0.002 0.0062 0.0066 Ref.…”

Section: Correlation Analysismentioning

confidence: 99%

Iterative Time-Varying Filter Algorithm Based On Discrete Linear Chirp Transform

Alkishriwo

Elghariani

Akan

2018

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1

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“…Nini and Lemmouchi [60] presented the three‐dimensional rotation scheme to perform the encoding on images. It presents promising results even without using the diffusion.…”

Section: Introductionmentioning

confidence: 99%

Parallel strength Pareto evolutionary algorithm‐II based image encryption

2020

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In recent years, many image encryption approaches have been proposed on the basis of chaotic maps. The various types of chaotic maps such as one‐dimensional and multi‐dimensional have been used to generate the secret keys. Chaotic maps require some parameters and value assignment to these parameters is very crucial. Because, poor value assignments may make the chaotic map un‐chaotic. Therefore, hyper‐parameter tuning of chaotic maps is required. Recently, meta‐heuristic based image encryption approaches have been designed by researchers to resolve this issue. However, the majority of the techniques suffer from poor computational speed and stuck in local optima problems. Therefore, in this study, a strength Pareto evolutionary algorithm‐II based meta‐heuristic approach is proposed to tune the hyper‐parameters of the four‐dimensional chaotic map. The proposed approach is also implemented in a parallel fashion to enhance the computational speed. The effectiveness of the proposed approach is evaluated through extensive experiments. Comparative analyses show that the proposed approach outperforms the competitive approaches in terms of entropy, NPCR, UACI, and PSNR by 0.9834, 1.0728, 0.9134, and 0.8971normal%, respectively.

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“…However, by a strategy of divide-and-conquer [26], a chosen-plaintext can efficiently attack this algorithm having a complex linear relation. In addition, there are numerous other cryptanalysis methods [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

An Effective Framework for Chaotic Image Encryption Based on 3D Logistic Map

Jiao

Pan

et al. 2018

Security and Communication Networks

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In this paper, an effective framework for chaotic encryption based on a three-dimensional logistic map is presented together with secure hash algorithm-3 (SHA-3) and electrocardiograph (ECG) signal. Following the analysis of the drawbacks, namely, fixed key and low sensitivity, of some current algorithms, this work tries to solve these two problems and includes two contributions: (1) removal of the phenomenon of summation invariance in a plain-image, for which SHA-3 is proposed to calculate the hash value for the plain-image, with the results being employed to influence the initial keys for chaotic map; (2) resolution of the problem of fixed key by using an ECG signal, that can be different for different subjects or different for same subject at different times. The Wolf algorithm is employed to produce all the control parameters and initial keys in the proposed encryption method. It is believed that combining with the classical architecture of permutation-diffusion, the summation invariance in the plain-image and shortcoming of a fixed key will be avoided in our algorithm. Furthermore, the experimental results and security analysis show that the proposed encryption algorithm can achieve confidentiality.

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Security analysis of a three‐dimensional rotation‐based image encryption

Cited by 7 publications

References 17 publications

Iterative Time-Varying Filter Algorithm Based On Discrete Linear Chirp Transform

Iterative Time-Varying Filter Algorithm Based On Discrete Linear Chirp Transform

Parallel strength Pareto evolutionary algorithm‐II based image encryption

An Effective Framework for Chaotic Image Encryption Based on 3D Logistic Map

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