A hybrid color image encryption method based on extended logistic map

Çelik, Hidayet; Doğan, Nurettin

doi:10.1007/s11042-023-16215-x

Cited by 14 publications

(3 citation statements)

References 48 publications

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“…Assuming the computer has a precision of 10 −14 , the key space of our algorithm is 2 256 × 10 14×4 ≈ 2 256 × 2 187 = 2 443 . Obviously, it is larger than 2 100 [36], which means our algorithm can make brute-force attacks ineffective.…”

Section: Performance Analyses 51 Key Spacementioning

confidence: 98%

Image encryption algorithm based on improved iterative chaotic map with infinite collapses and Gray code

Wang,

Zhang,

Zhao

2024

Phys. Scr.

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The quick advancement of multimedia technology has led to the widespread utilization of digital images across various industries. Meanwhile, image security has become an urgent issue in need of resolution. To guarantee image security as well fulfill the requirements of real-time image cryptosystems, a novel image encryption algorithm is proposed based on the designed improved iterative chaotic map with infinite collapses (ICMIC), Gray code and semi-pixel level permutation and diffusion. Firstly, two chaotic sequences are produced using the improved ICMIC and then they are used to perform scrambling and diffusion operations. Secondly, the plain image is encoded using Gray code and then we convert each Gray code into two semi-pixels. Thirdly, the designed semipixellevel permutation is used to scramble the semi-pixel vector. Finally, the scrambled semi-pixel vector is diffused using the designed dynamic semi-pixel level diffusion. The performance analyses illustrate that the proposed algorithm possesses robust security and high efficiency, making it ideally suited for application in real-time image cryptosystems.

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Section: Performance Analyses 51 Key Spacementioning

confidence: 98%

Image encryption algorithm based on improved iterative chaotic map with infinite collapses and Gray code

Wang,

Zhang,

Zhao

2024

Phys. Scr.

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“…A hybrid color image encryption method that relies on an extended logistic map was presented in the past. This approach [22] aims to enhance image encryption through the integration of a complex logistic map. Further the extended logistic map might introduce a higher computational load, possibly resulting in slower encryption and decryption processes.…”

Section: Related Workmentioning

confidence: 99%

IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities

Ahuja,

Doriya,

Salunke

et al. 2023

IEEE Access

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A ''smart city'' sends data from many sensors to a cloud server for local authorities and the public to connect. Smart city residents communicate mostly through images and videos. Many image security algorithms have been proposed to improve locals' lives, but a high-class redundancy method with a small space requirement is still needed to acquire and protect this sensitive data. This paper proposes an IoT-based multi-dimensional chaos mapping system for secure and fast transmission of visual data in smart cities, which uses the five dimensional Gauss Sine Logistic system to generate hyper-chaotic sequences to encrypt images. The proposed method also uses pixel position permutation and Singular Value Decomposition with Discrete fractional cosine transform to compress and protect the sensitive image data. To increase security, we use a chaotic system to construct the chaotic sequences and a diffusion matrix. Furthermore, numerical simulation results and theoretical evaluations validate the suggested scheme's security and efficacy after compression encryption.

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“…Hussain et al [7] introduced a ciphering architecture for medical images centered on TetraVex game theory method, demonstrating flexibility and reliability in protecting medical images against any attack. Çelik and Doğan [9], suggested an encryption image architecture using data hiding and logistic maps, exhibiting satisfactory security performance in experimental results. Drawing inspiration from these studies, we propose utilizing existing technology to recognize the facial contour area when encrypting human images, enabling the individual encryption of these regions.…”

Section: Introductionmentioning

confidence: 99%

Improved vigenere using affine functions surrounded by two genetic crossovers for image encryption

El Bourakkadi,

Chemlal,

Tabti

et al. 2024

IJEECS

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This paper presents an improved method for encrypting color images, surpassing the effectiveness of genetic crossover and substitution operations. The technique incorporates dynamic random functions to enhance the integrity of the resulting vector, increasing temporal complexity to thwart potential attacks. The improvement involves integrating genetic crossover and utilizing two extensive pseudorandom replacement tables derived from established chaotic maps in cryptography. Following the controlled vectorization of the original image, our approach initiates with a first genetic crossover inspired by deoxyribonucleic acid (DNA) behavior at the pixel level. This genetic crossover is succeeded by a confusion-diffusion lap, reinforcing the connection between encrypted pixels and their neighboring counterparts. The confusion-diffusion process employs dynamic pseudorandom affine functions at the pixel level. Then a second genetic crossover operator is applied. Simulations conducted on a diverse set of images with varying sizes and formats showcase the robustness of our method against statistical, brute-force, and differential attacks.

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A hybrid color image encryption method based on extended logistic map

Cited by 14 publications

References 48 publications

Image encryption algorithm based on improved iterative chaotic map with infinite collapses and Gray code

Image encryption algorithm based on improved iterative chaotic map with infinite collapses and Gray code

IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities

Improved vigenere using affine functions surrounded by two genetic crossovers for image encryption

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