Multi Chaotic System to Generate Novel S-Box for Image Encryption

Nasry, Hany; Abdallah, Azhaar A.; Farhan, Alaa Kadhim; Ahmed, Hossam Eldin H.; Sobky, Wageda I.El

doi:10.1088/1742-6596/2304/1/012007

Cited by 15 publications

(6 citation statements)

References 33 publications

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“…The results of the SAC analysis for the sample S-box are presented in Table 6. [27] 112 [44] 106 [28] 112 [46] 106 [29] 110 [47] 106 [9] 106 [48] 106 [38] 110 [49] 108 [39] 110 [50] 108 [40] 108 [51] 110…”

Section: ) Strict Avalanche Criteria(sac)mentioning

confidence: 99%

Construction and Optimization of Dynamic S-Boxes Based on Gaussian Distribution

et al. 2023

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Block ciphers are widely used for securing data and are known for their resistance to various types of attacks. The strength of a block cipher against these attacks often depends on the S-boxes used in the cipher. There are many chaotic map-based techniques in the literature for constructing the dynamic S-Boxes. While chaos-based approaches have certain attractive properties for this purpose, they also have some inherent weaknesses, including finite precision effect, dynamical degradation of chaotic systems, non-uniform distribution, discontinuity in chaotic sequences. These weaknesses can limit the effectiveness of chaotic mapbased substitution boxes. In this paper, we propose an innovative approach for constructing dynamic S-boxes using Gaussian distribution-based pseudo-random sequences. The proposed technique overcomes the weaknesses of existing chaos-based S-box techniques by leveraging the strength of pseudo-randomness sequences. However, one of the main drawbacks of using Gaussian distribution-based pseudo-random sequences is the low nonlinearity of the resulting S-boxes. To address this limitation, we introduce the use of genetic algorithms (GA) to optimize the nonlinearity of Gaussian distribution-based S-boxes while preserving a high level of randomness. The proposed technique is evaluated using standard S-box performance criteria, including nonlinearity, bit independence criterion (BIC), linear approximation probability (LP), strict avalanche criterion (SAC), and differential approximation probability (DP). Results demonstrate that the proposed technique achieves a maximum nonlinearity of 112, which is comparable to the ASE algorithm.

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Section: ) Strict Avalanche Criteria(sac)mentioning

confidence: 99%

Construction and Optimization of Dynamic S-Boxes Based on Gaussian Distribution

et al. 2023

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“…The mixed chaotic sequence is used to generate an Sbox. In [18], H. Nasry et al suggested an S-box image cryptosystem based on a 3D Lorenz and a 2D Henon map. However, existing S-boxes generation based on (discrete or continuous) chaotic methods does not lead to good nonlinearity and other performance parameters.…”

Section: Et Al Proposed An S-box Designmentioning

confidence: 99%

“…Input: initial values map (𝑥 0 , 𝑦 0 , 𝑧 0 , 𝑝 0 , 𝑘 0 , n) of proposed hybrid chaotic system and its parameters (b, r, s, u, 𝑑𝑡), result array= Null, 𝑎𝑟𝑟_𝑙𝑖𝑠𝑡 array= Null, W, H are width and height of input image Output: S-Box (16 × 16) Step 1: [𝑥 𝑠 , 𝑦 𝑠 , 𝑧 𝑠 , 𝑝 𝑠 , 𝑘 𝑠 ] chaotic system (𝑥 0 , 𝑦 0 , 𝑧 0 , 𝑝 0 , 𝑘 0 ) // to generate random numbers Step 2: For each value in 𝑥 𝑠 , 𝑦 𝑠 , 𝑧 𝑠 , 𝑝 𝑠 , 𝑘 𝑠 that's generated from the proposed 5D hybrid chaotic system Step 2.1: Get only five digits from the index (3 to 7) and convert it to an integer b) Balanced: to achieve the principle of balance as the number of ones is a near-equal number of Zeros [18]; therefore, the proposed S-box is balanced. c) Avalanche Effect: If half of the output bits are changed by changing a single input bit, this is the avalanche effect [30].…”

Section: Algorithm 1: S-box Constructionmentioning

confidence: 99%

“…GLCMis a statistical study of texture measurement that depicts the spatial characteristics of image pixels. It provides valuable information about various aspects such as contrast, energy, and homogeneity [18]. The energy analysis quantifies the information of ciphered image and reflects the disorder degree of ciphered image.…”

Section: Gray-level Co-occurrence Matrix Analysis (Glcm)mentioning

confidence: 99%

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Image Encryption in IOT Using Hyper-chaotic System

2023

IJIES

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The rapid development of IOT and the ease of capturing and transmitting digital images have increased the demand for image encryption. Despite the availability of various encryption methods, chaos-based image encryption is the most suitable method for image applications due to its sensitivity to initial conditions and control parameters. Many image encryption schemes have been developed to enhance the security of images by using chaotic maps, but they cannot combat all possible threats from the cryptanalysis community. This study presents a new chaosbased substitution box (S-box) and its application for securing images. The construction of the presented S-box approach is based on a new five-dimensional hyper-chaotic system, and the experimental results prove that the suggested S-box approach has high nonlinearity and good cryptographic characteristics. In addition, we utilize the effectiveness of the presented S-box approach in designing a novel lightweight image encryption/decryption scheme. Results demonstrate that this scheme has a sufficient peak signal-to-noise ratio, a low correlation, and a large key space. These factors make it more efficient than its classical counterpart and allow it to resist statistical and differential attacks. The number of changing pixel rate (NPCR) and the unified averaged changed intensity (UACI) values were 99.623 and 33.532, respectively. The entropy oscillates from 7.9965 to 7.9971 for the tested encrypted images. These criteria indicate an efficient, fast, and robust scheme that can be used for secure image transmission via public channels.

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“…These techniques involve two operations known as confusion and diffusion operations [ 12 , 13 ]. Therefore, chaos theory has been mixed up and embedded by research into other subjects [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of the CAST Block Algorithm Based on Novel S-Box for Image Encryption

Ali

Akif

Jassim

et al. 2022

Sensors

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Background and Aim: due to the rapid growth of data communication and multimedia system applications, security becomes a critical issue in the communication and storage of images. This study aims to improve encryption and decryption for various types of images by decreasing time consumption and strengthening security. Methodology: An algorithm is proposed for encrypting images based on the Carlisle Adams and Stafford Tavares CAST block cipher algorithm with 3D and 2D logistic maps. A chaotic function that increases the randomness in the encrypted data and images, thereby breaking the relation sequence through the encryption procedure, is introduced. The time is decreased by using three secure and private S-Boxes rather than using six S-Boxes, as in the traditional method. Moreover, the CAST encryption algorithm was modified to be used on the private keys and substitution stage (S-Boxes), with the keys and S-Boxes of the encryption algorithm being generated according to the 2D and 3D chaotic map functions. The proposed system passed all evaluation criteria, including (MSE, PSNR, EQ, MD, SC, NC, AD, SNR, SIM, MAE, Time, CC, Entropy, and histograms). Results: Moreover, the results also illustrate that the created S-Boxes passed all evaluation criteria; compared with the results of the traditional method that was used in creating S-Box, the proposed method achieved better results than other methods used in the other works. The proposed solution improves the entropy which is between (7.991–7.999), reduces the processing time which is between (0.5–11 s/Images), and improves NCPR, which is between (0.991–1). Conclusions: The proposed solution focuses on reducing the total processing time for encryption and decryption and improving transmission security. Finally, this solution provides a fast security system for surgical telepresence with secure real-time communication. The complexity of this work needs to know the S-Box creation method used, the chaotic method, the values of the chaotic parameters, and which of these methods was used in the encryption process.

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Multi Chaotic System to Generate Novel S-Box for Image Encryption

Cited by 15 publications

References 33 publications

Construction and Optimization of Dynamic S-Boxes Based on Gaussian Distribution

Construction and Optimization of Dynamic S-Boxes Based on Gaussian Distribution

Image Encryption in IOT Using Hyper-chaotic System

Enhancement of the CAST Block Algorithm Based on Novel S-Box for Image Encryption

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