An image encryption scheme combining chaos-memory cellular automata and weighted histogram

Souyah, Amina; Faraoun, Kamel Mohamed

doi:10.1007/s11071-016-2912-0

Cited by 75 publications

(21 citation statements)

References 44 publications

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“…[25] used the quadtree decomposition strategy for decomposing the image into several blocks at multiple levels and then reversible memory cellular automata (MCA) are used to induce confusion and diffusion in the original image. In [26], a mixture of chaos-based systems and CA is used for image encryption along with the quadtree decomposition strategy. Secret key streams are generated using LTS chaotic sequences, and an improved (one-dimensional) 1D chaotic system is used for bit level permutation in confusion phase.…”

Section: Introductionmentioning

confidence: 99%

Fourth Order MCA and Chaos-Based Image Encryption Scheme

Aslam¹,

Belazi

Kharbech

et al. 2019

IEEE Access

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This paper presents a fast and efficient cryptosystem for enciphering digital images. It employs two of the most prominent dynamical systems-chaotic maps and cellular automata. The key streams in the proposed encryption scheme are derived from the SHA-256 hash function. Hash functions produce the digest of the input plaintext, known as a hash value, which can be considered as a unique signature of the input. This makes the keys more plaintext dependent, which is a desirable property of a robust cryptosystem. These key streams are used as the secret keys (i.e., initial conditions and control parameters) of an improved one-dimensional (1-D) chaotic map, i.e., the Logistic-Sine map. As far as we know, this paper is a first that combines the well-known diffusion-confusion architecture and the fourth order 1-D memory cellular automata (MCA) for image encryption. First, a pixel-wise XOR operation is applied to the original image, followed by a pixel-wise random permutation. The resulting image is decomposed into four blocks according to the quadtree decomposition strategy. Then, a fourth order reversible MCA is applied, the blocks obtained from the quadtree decomposition are considered as the initial MCA configurations, and the transition rules are determined using the chaotic map. The performance analyses show that the proposed encryption scheme presents a high immunity against all kind of attacks while maintaining a low complexity, which outcome a notably better performance/complexity trade-off compared to some recently proposed image schemes. INDEX TERMS Logistic-Sine map, chaos, cellular automata, image encryption, quadtree decomposition, hash functions. The associate editor coordinating the review of this manuscript and approving it for publication was Antonio J. Plaza. intruders. To meet these security challenges, development of robust cryptographic schemes is quite essential. These schemes help secure communication of data between the sender and the authorized receivers having common security keys. Apart from the security aspects, high computational speed is also a desirable criterion for an efficient cryptosystem to be incorporated with a real-time communication. Multimedia data like high-quality digital images are too bulky regarding data size, therefore, cryptographic schemes like DES, 3DES, and AES are unable to meet the requirements of high computational speed. Besides, image encryption schemes follow two main categories: modular arithmetic-based algorithms (like most of the algorithms which rely on the substitution-permutation-diffusion architecture [1]-[3]) and algorithms entirely based on an analytical mathematics approach (e.g., algebraic methods and

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Section: Introductionmentioning

confidence: 99%

Fourth Order MCA and Chaos-Based Image Encryption Scheme

Aslam¹,

Belazi

Kharbech

et al. 2019

IEEE Access

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“…They are maximum deviation (MaxD), irregular deviation (IDev) and deviation from uniform histogram (DHist) which were calculated using the Eqns. (15)- (17). The findings of this analysis are presented in Table 4.…”

Section: Encryption Quality Analysismentioning

confidence: 93%

“…A digital scrambling according to four classes of behaviours proposed by wolfram such as ordered behaviour, periodic behaviour, random or chaotic behaviour and complex behaviour is proposed 15 . This CA is most widely used for diffusion operation and confusion process has been carried out with logistic map and chaos memory combinations [16][17][18] . Considering the earlier works, the proposed work combines CA and IWT in an attempt to study the efficiency with chaotic maps or attractors.…”

Section: Introductionmentioning

confidence: 99%

Cellular Automata with Synthetic Image A Secure Image Communication with Transform Domain

et al. 2019

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Image encryption has attained a great attention due to the necessity to safeguard confidential images. Digital documents, site images, battlefield photographs, etc. need a secure approach for sharing in an open channel. Hardware – software co-design is a better option for exploiting unique features to cipher the confidential images. Cellular automata (CA) and synthetic image influenced transform domain approach for image encryption is proposed in this paper. The digital image is initially divided into four subsections by applying integer wavelet transform. Confusion is accomplished on low – low section of the transformed image using CA rules 90 and 150. The first level of diffusion with consecutive XORing operation of image pixels is initiated by CA rule 42. A synthetic random key image is developed by extracting true random bits generated by Cyclone V field programmable gate array 5CSEMA5F31C6. This random image plays an important role in second level of diffusion. The proposed confusion and two level diffusion assisted image encryption approach has been validated through the entropy, correlation, histogram, number of pixels change rate, unified average change intensity, contrast and encryption quality analyses.

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“…A novel image encryption algorithm is introduced based on the two-dimensional logistic map and the Latin square image cipher in [6]. An image encryption scheme combining chaos-memory cellular automata and weighted histogram is proposed in [7]. DNA computing in [8][9][10][11] is applied to chaos based image encryption system due to its several good characteristics, such as massive parallelism, huge storage and ultralow power consumption, etc.…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Algorithm Based on Compressive Sensing and M Sequence

Dou

2020

IEEE Access

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An image encryption scheme combining chaos-memory cellular automata and weighted histogram

Cited by 75 publications

References 44 publications

Fourth Order MCA and Chaos-Based Image Encryption Scheme

Fourth Order MCA and Chaos-Based Image Encryption Scheme

Cellular Automata with Synthetic Image A Secure Image Communication with Transform Domain

An Image Encryption Algorithm Based on Compressive Sensing and M Sequence

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