An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding

Naskar, Prabir Kumar; Bhattacharyya, Surojit; Mahatab, Kailash Chandra; Dhal, Krishna Gopal; Chaudhuri, Arnab Ray

doi:10.1007/s11071-021-06761-0

Cited by 25 publications

(6 citation statements)

References 72 publications

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“…As a whole, the cipher images generated by the scheme introduced in this paper can gain higher NPCR and 040506-13 UACI grades than those in Refs. [32][33][34]37]. In the experiments, we found that when the plain image is modified to a certain extent, two cipher images with inconsistent dimen-sions will be produced after encryption, which improves its resistance to various attacks.…”

Section: Anti-differential Attack Analysismentioning

confidence: 93%

“…Therefore, under the condition that the precision of the floating-point number in the simulation platform is 10 −14 , the gross key space of this scheme is approximately 2 714 , which is much larger than some recently designed encryption schemes. [31][32][33][34] Next, taking the image "Sailboat" with a resolution of 512 × 512 as an instance to qualitatively analyze the key sensitivity level of this scheme, the gained experimental results are depicted in Fig. 17.…”

Section: Anti-violent Attack Analysismentioning

confidence: 99%

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Dynamics analysis and cryptographic implementation of a fractional-order memristive cellular neural network model

Zhou 周,

Jiang 蒋,

Nkapkop

et al. 2024

Chinese Phys. B

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Given that memristor with memory property is an ideal electronic component for implementing the artificial neural synaptic function, a brand-new tristable locally active memristor model is first proposed in this paper. On this basis, a novel four dimensional fractional-order memristive cellular neural network (FO-MCNN) model with hidden attractors is constructed to enhance the engineering feasibility of original CNN model and its performances. And then, its hardware circuit implementation and complicated dynamic properties are investigated in multi-simulation platforms. Subsequently, it is used toward the secure communication application scenarios. Taking it as the pseudo-random number generator (PRNG), a new privacy image security scheme is designed based on the adaptive sampling rate compressive sensing (ASR-CS) model. Eventually, the simulation analysis and comparative experiments manifest that the proposed data encryption scheme possesses strong immunity against the various security attack models and satisfactory compression performance.

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Section: Anti-differential Attack Analysismentioning

confidence: 93%

Section: Anti-violent Attack Analysismentioning

confidence: 99%

Dynamics analysis and cryptographic implementation of a fractional-order memristive cellular neural network model

Zhou 周,

Jiang 蒋,

Nkapkop

et al. 2024

Chinese Phys. B

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“…At present, the application of chaotic system for the information encryption becomes one of the most concerned research directions [2][3][4]. Due to the sensitivity and the randomness of the chaotic systems to initial conditions, when facing to the remote sensing image encryption, the encryption schemes based on chaos has particular advantages [5][6][7]. Thus, it is particularly important to select a remote sensing image encryption scheme with higher anti-cracking ability.…”

Section: Introductionmentioning

confidence: 99%

A Novel Remote Sensing Image Encryption Scheme Based on Block Period Arnold Scrambling

Wang,

Ye,

Zhao

2024

Preprint

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In this paper, a new spatiotemporal chaos model is proposed. The model is the Hash Arnold Coupled Logistic Map Lattices (HACLML) based on the Arnold Coupled Logistic Map Lattices (ACLML). By introducing hash index chain mapping, the chaotic performance of lattice is improved. Then, a novel image encryption algorithm is obtained based on the HACLML. During the scrambling phase of image encryption, a point-to-block encryption algorithm is designed. In addition, the diffusion encryption algorithm is designed according to the structure of HACLML and double hash index chain. The security analysis results show that the designed encryption algorithm has highly resistant to deciphering.

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“…Wang et al [16] utilized a reworked version of the 1D Logistic map to jumble up the coordinates of individual pixels. Naskar et al [17] performed a diffusion operation using the Logistic map. However, criminal hackers' cracking technology is also maturing.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of 2D-SCMCI Hyperchaotic Map Based Image Encryption Algorithm

Alshehri¹,

Almakdi²,

Qathrady³

et al. 2023

Computer Systems Science and Engineering

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Chaos-based cryptosystems are considered a secure mode of communication due to their reliability. Chaotic maps are associated with the other domains to construct robust encryption algorithms. There exist numerous encryption schemes in the literature based on chaotic maps. This work aims to propose an attack on a recently proposed hyper-chaotic map-based cryptosystem. The core notion of the original algorithm was based on permutation and diffusion. A bitlevel permutation approach was used to do the permutation row-and column-wise. The diffusion was executed in the forward and backward directions. The statistical strength of the cryptosystem has been demonstrated by extensive testing conducted by the author of the cryptosystem. This cryptanalysis article investigates the robustness of this cryptosystem against a chosen-plaintext attack. The secret keys of the cryptosystem were retrieved by the proposed attack with 258 chosen-plain images. The results in this manuscript suggest that, in addition to standard statistical evaluations, thorough cryptanalysis of each newly suggested cryptosystem is necessary before it can be used in practical application. Moreover, the data retrieved is also passed through some statistical analysis to compare the quality of the original and retrieved data. The results of the performance analysis indicate the exact recovery of the original data. To make the cryptosystem useful for applications requiring secure data exchange, a few further improvement recommendations are also suggested.

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An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding

Cited by 25 publications

References 72 publications

Dynamics analysis and cryptographic implementation of a fractional-order memristive cellular neural network model

Dynamics analysis and cryptographic implementation of a fractional-order memristive cellular neural network model

A Novel Remote Sensing Image Encryption Scheme Based on Block Period Arnold Scrambling

Cryptanalysis of 2D-SCMCI Hyperchaotic Map Based Image Encryption Algorithm

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