New color image encryption using hybrid optimization algorithm and Krawtchouk fractional transformations

Tahiri, Mohamed Amine; Karmouni, Hicham; Bencherqui, Ahmed; Daoui, Achraf; Sayyouri, Mhamed; Qjidaa, Hassan; Hosny, Khalid M.

doi:10.1007/s00371-022-02736-3

Cited by 20 publications

(9 citation statements)

References 69 publications

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“…Discrete orthogonal moments [44] play a prominent role in signal and image analysis, and their usefulness extends to a multitude of varied applications. They have been successful in areas such as classification, reconstruction, watermarking, encryption, and compression [45][46][47][48][49]. They are a versatile tool for representing and processing complex data.…”

Section: Reconstruction Of 2d and 3d Signals And Images Using Meixner...mentioning

confidence: 99%

Chaos-Enhanced Archimede Algorithm for Global Optimization of Real-World Engineering Problems and Signal Feature Extraction

Bencherqui,

Tahiri,

Karmouni

et al. 2024

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Optimization algorithms play a crucial role in a wide range of fields, from designing complex systems to solving mathematical and engineering problems. However, these algorithms frequently face major challenges, such as convergence to local optima, which limits their ability to find global, optimal solutions. To overcome these challenges, it has become imperative to explore more efficient approaches by incorporating chaotic maps within these original algorithms. Incorporating chaotic variables into the search process offers notable advantages, including the ability to avoid local minima, diversify the search, and accelerate convergence toward optimal solutions. In this study, we propose an improved Archimedean optimization algorithm called Chaotic_AO (CAO), based on the use of ten distinct chaotic maps to replace pseudorandom sequences in the three essential components of the classical Archimedean optimization algorithm: initialization, density and volume update, and position update. This improvement aims to achieve a more appropriate balance between the exploitation and exploration phases, offering a greater likelihood of discovering global solutions. CAO performance was extensively validated through the exploration of three distinct groups of problems. The first group, made up of twenty-three benchmark functions, served as an initial reference. Group 2 comprises three crucial engineering problems: the design of a welded beam, the modeling of a spring subjected to tension/compression stresses, and the planning of pressurized tanks. Finally, the third group of problems is dedicated to evaluating the efficiency of the CAO algorithm in the field of signal reconstruction, as well as 2D and 3D medical images. The results obtained from these in-depth tests revealed the efficiency and reliability of the CAO algorithm in terms of convergence speeds, and outstanding solution quality in most of the cases studied.

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Section: Reconstruction Of 2d and 3d Signals And Images Using Meixner...mentioning

confidence: 99%

Chaos-Enhanced Archimede Algorithm for Global Optimization of Real-World Engineering Problems and Signal Feature Extraction

Bencherqui,

Tahiri,

Karmouni

et al. 2024

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“…The values of the pixels vary throughout the diffusion phase corresponding with the chaotic random sequence. Until the pixel values are all modified and the encryption is finished, repeat the two actions multiple times [25], [42][43][44][45]. Since the majority of the images have substantial relationships between adjacent pixels, we substitute the RGB image pixels using chaotic sequences to get rid of the correlations.…”

Section: Three Dimensional Substitution Bit Levelsmentioning

confidence: 99%

“…In recent decades, many researchers [37][38][39][40] have established high-dimensional methods of encryption very quickly to address security issues that prevent low-dimensional encryption from meeting requirements, given the speed at which modern communication is developing. Moreover, in [41][42][43][44][45], good encryption and good statistical properties are achieved, which leads to good security and integrity for the data transmission but with high complexity and limited key space for encryption.…”

Section: Introductionmentioning

confidence: 99%

Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

Abdel Hameed

2024

Aswan University Journal of Sciences and Technology

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Over the past few decades, the need for robust and secure communication has grown exponentially, particularly in image transmission over networks. This is due to the increasing reliance on digital technologies. This work demonstrates a novel "Scrambled Encryption Approach" that leverages the inherent unpredictability. To this end, nine-dimensional chaotic systems are combined with the innovative technique of 3-D substitution bit levels to verify strengths such as the confidentiality and integrity of visual data while maintaining fast encryption and decryption processes. This has the drawback of being vulnerable to known plaintext attacks and performing more sophisticated calculations than simpler encryption approaches. So, the proposed technique first separates the color input image into 24 bits to be categorized into 8 bits for each color channel (red, green, and blue). Then, 3-bit levels are used with position sequences for substitutions taken from the 9-D Lorenz chaotic system. After that, a multilayer differentiation technique produces three key matrices, which are then used to diffuse the scrambled components and produce the color cipher image. The simulation results show that our method has a high visual quality of decrypted images as well as high protection against brute force attacks because we have a large key space used for encryption data. Moreover, our proposed technique achieves more security against statistical attacks, including histogram analysis, information entropy, and correlation coefficients between pixels. Finally, the proposed encryption technique achieves a more secure transmission than state-of-the-art encryption approaches to guarantee integrity, privacy, and efficiency through global networks.

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“…Traditional encryption algorithms used for remote sensing images suffer from weak security, susceptibility to attack, and low encryption efficiency. Many image encryption algorithms have been proposed to address these challenges, which can be based on such things as chaotic functions [2,3], DNA coding [4][5][6], meta-cellular automata [7,8], meta-heuristic techniques [9][10][11], S-boxes [12,13], asynchronous updating Boolean networks [14], and Fourier and wavelet transforms [15,16]. Zou et al [17] introduced ICCTML, an enhanced dynamic model that combines Tent chaotic systems and cross-coupled mappings, offering greater convenience, a wider chaotic range, and higher information entropy.…”

Section: Introductionmentioning

confidence: 99%

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Li,

Xu,

Gao

2024

Phys. Scr.

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Remote sensing images have been widely used in the military and other areas because of their rich perceptional data. This makes their visual security critical in practical usage. To address this challenge, an enhanced image encryption scheme is proposed. In the scrambling phase, n bands of remote sensing images undergo Arnold double bit-level per-mutation. This reduces not only the pixel correlation in each image plane, but also between each frequency band. To enhance security, an RNA crossover rule (RNACMO) is introduced. The RNA image is divided into RNA single strands of different lengths using chaotic sequences, and different crossover methods, including single-point and uniform, are adaptively selected according to the number of RNA single strands. RNACMO significantly improves the security level of the scheme. An improved immune algorithm (IIA) is exploited to optimize chaotic function sequences, which improves the chaotic property of the scheme. In experiments, the proposed algorithm achieves average values of 99.6094% for NPCR, 33.4635% for UACI, and 26.7712% for BACI in encrypted remote sensing images, indicating stronger security and better resilience against attacks compared with other encryption algorithms for remote sensing images.

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New color image encryption using hybrid optimization algorithm and Krawtchouk fractional transformations

Cited by 20 publications

References 69 publications

Chaos-Enhanced Archimede Algorithm for Global Optimization of Real-World Engineering Problems and Signal Feature Extraction

Chaos-Enhanced Archimede Algorithm for Global Optimization of Real-World Engineering Problems and Signal Feature Extraction

Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

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