Block Cipher Nonlinear Confusion Components Based on New 5-D Hyperchaotic System

Alhudhaif, Adi; Ahmad, Musheer; Alkhayyat, Ahmed; Tsafack, Nestor; Farhan, Alaa Kadhim; Ahmed, Rafeeq

doi:10.1109/access.2021.3090163

Cited by 24 publications

(13 citation statements)

References 49 publications

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“…Both methods are vulnerable to statistical and algebraic assaults. Additionally, [2], [13] used a hyperchaotic system (five-dimensional). Its implementation in hardware and software is hence inefficient.…”

Section: Related Workmentioning

confidence: 99%

“…Encryption is one of the key strategies for safeguarding digital data. Building block ciphers, which use mathematical operations (substitutionpermutation networks), is based on Shannon's theory of diffusion and confusion [1,2]. An input block of n bits is transformed into a new nonlinear block of m bits via a substitution box (S-box).…”

Section: Introductionmentioning

confidence: 99%

“…A linear transformation that shuffles the input bits is called a permutation. The first-round results of the S-box are permuted before moving on to the second round [2].…”

Section: Introductionmentioning

confidence: 99%

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Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box

2022

IJIES

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A major component of symmetric cryptosystems is the substitution box (S-box), which is primarily utilized in existing cryptographic ciphers to ensure secure data sanctuaries. The cryptographic strength of an S-box used in the encryption directly correlates to the amount of data protection that a cipher offers. This work developed a suitable configuration (8x8) S-box using metaheuristic approaches based on the Glowworm Swarm Optimization (GSO) algorithm and three-dimensional (3D) logistic equations to construct pseudo-random number generators. Chaotic maps boost the initial population of the GSO, making it a suitable place to start. The nonlinearity score of the S-box served as the GSO's objective function. Operations for exploration and exploitation are balanced using the GSO. In comparison to various references, the proposed S-box satisfied all of the S-security box's requirements, including the strict avalanche criterion (SAC), bijection, nonlinearity, output bits independence criteria (BIC), and histogram. The proposed method's nonlinearity property was 107.00. It is regarded as a successful and effective result. BIC and SAC averages were 103.500 and 0.499, respectively. Compared to a simple histogram, the encryption histogram was more uniform. As a result, it has been demonstrated that the suggested S-box is robust and resistant to cryptographic assaults.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box

2022

IJIES

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“…Chaotic maps are dynamic models with excellent features such as unpredictable, periodic behaviour and sensitivity to system parameters as well as sensitivity to initial values. There are two classes of chaotic maps: one-dimensional(1-D) [16] and multidimensional(M-D) [17]. Most one-dimensional chaotic maps, like the Logistic, Piecewise linear, and Tent map [18], are made up of one variable and a few parameters.…”

Section: Introductionmentioning

confidence: 99%

Creation of S-Box based One-Dimensional Chaotic Logistic Map: Colour Image Encryption Approach

2022

IJIES

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Image security is evolving as an outstanding platform to provide security in the digital world. The external features of the Internet have driven the transfer of digital images from one place to another. In the area of security, the improvement of encryption and decryption is crucial. Chaos-based encryption has recently been proposed as a reliable and effective solution for image security. The excellent properties of unpredictability, ergodicity, and sensitivity to their parameters and initial values have enabled the wide use of chaotic maps in security applications. This paper introduces a colour image encryption approach to secure colour images and constructs s-box relying on the onedimensional logistic map. The proposed colour image encryption approach relies on the generated new S-box. The new S-box passed the S-box test criteria for balanced, completeness, avalanche, and strict avalanche. Also, the encryption performance analysis metrics like information entropy, correlation analysis, histogram analysis, and differential attack are recorded. Based on the results, the values of information entropy, NPCR, and UACI for the Lena image reached are 7.9972, 99.601%, and 33.5647% respectively.

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“…It is extensively recognized as a useful technique for secure transmission. Every image encryption algorithm is aimed to keep information secret [2,3]. Image cryptographic models are based on mathematical functions to generate a combination of different keys to encrypt the input image.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

Ibrahim¹,

Natiq²,

Alkhayyat³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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In this study, a new algorithm of fractional beta chaotic maps is proposed to generate chaotic sequences for image encryption. The proposed technique generates multi random sequences by shuffling the image pixel position. This technique is used to blur the pixels connecting the input and encrypted images and to increase the attack resistance. The proposed algorithm makes the encryption process sophisticated by using fractional chaotic maps, which hold the properties of pseudo-randomness. The fractional beta sequences are utilized to alter the image pixels to decryption attacks. The experimental results proved that the proposed image encryption algorithm successfully encrypted and decrypted the images with the same keys. The output findings indicate that our proposed algorithm has good entropy and low correlation coefficients. This translates to enhanced security against different attacks. A MATLAB programming tool was used to implement and assess the image quality measures. A comparison with other image encryption techniques regarding the visual inspection and signal-to-noise ratio is provided.

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Block Cipher Nonlinear Confusion Components Based on New 5-D Hyperchaotic System

Cited by 24 publications

References 49 publications

Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box

Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box

Creation of S-Box based One-Dimensional Chaotic Logistic Map: Colour Image Encryption Approach

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

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