Domain-flexible selective image encryption based on genetic operations and chaotic maps

Murali, P.; Niranjana, G.; Paul, Aditya Jyoti; Muthu, Joan S.

doi:10.1007/s00371-021-02384-z

Cited by 23 publications

(10 citation statements)

References 55 publications

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“…On the other hand, the original Lorenz system has limitations in terms of ergodicity, dimension, unpredictability, and complexity [21]. Hence, various studies have refined or modified the original Lorenz system to increase its performance [33], [34], [35].…”

Section: ) New 2d Discrete Chaotic Sequencementioning

confidence: 99%

Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution

et al. 2023

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With the emergence of new information technology fields and various usages of internet applications, securing massive amounts and multiple varieties of multimedia data has become a significant challenge. Hence, it is essential to investigate and develop new cryptographic algorithms to ensure the protection and privacy of multimedia data at rest and during transmission through the communication channel while attempting to overcome the limitations of traditional cryptographic methods. This paper suggests a novel image encryption and decryption technique based on a computational genetic approach and selfadaptive chaotic substitution. The proposed encryption method depends mainly on four steps: sequence generation, diffusion, confusion, and optimization. The USC-SIPI image dataset is being utilized to prove the correctness and effectiveness of our approach in defending against different attack types. Furthermore, the proposed technique could be capable of withstanding attacks while achieving an information entropy of 7.999, Number of Pixel Change Rate of 99.62%, and a Unified Average Change in Intensity of 33.54%, respectively. The results of security testing and analysis revealed that our image security method is strongly recommended for modern communications security applications.INDEX TERMS Image security, chaotic systems, computational methods, genetic algorithm. I. INTRODUCTIONWith the development of the Internet and computer technology, people are using applications and systems in many aspects of their daily life. These applications and systems depend entirely on multimedia data (e.g., texts, images, videos, and audio). Multimedia data carries all kinds of information. This critical information may be private, medical, civil, military, industrial records, or secret messages and is primarily a target of many attacks. Illegal use of data can lead to major problems for users and organizations. Thus, multimedia data must be protected before transmission or distribution over networks.Various digital images and information formats, like color, gray, binary, and medical images, have been used and The associate editor coordinating the review of this manuscript and approving it for publication was Shuangqing Wei .

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Section: ) New 2d Discrete Chaotic Sequencementioning

confidence: 99%

Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution

et al. 2023

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“…σ A A * is the covariance of image A and A * , respectively. 2 are used to keep the stabilization of the division with a weak denominator. L is the dynamic range of the pixel-values (typically L = 255), with k 1 = 0.01 and k 2 = 0.03 by default [52].…”

Section: Structural Similaritymentioning

confidence: 99%

“…Digital watermarking is a technique for hiding data, which can be a logo for an organization, digital signature or image of an author, into multimedia object like text, image, audio or video. Furthermore, high security requirements of images in many scenarios such as military and trade stimulate the development of digital image encryption [2][3][4][5] and forensic algorithms [6]. Transparency and robustness are considered two mainly important properties for digital watermarking algorithm [7], as well they are measured using a quality metric: peak signal-to-noise ratio and normalized correlation, respectively.…”

Section: Introductionmentioning

confidence: 99%

A sophisticated and provably grayscale image watermarking system using DWT-SVD domain

2022

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Digital watermarking has attracted increasing attentions as it has been the current solution to copyright protection and content authentication in today's digital transformation, which has become an issue to be addressed in multimedia technology. In this paper, we propose an advanced image watermarking system based on the discrete wavelet transform (DWT) in combination with the singular value decomposition (SVD). Firstly, at the sender side, DWT is applied on a grayscale cover image and then eigendecomposition is performed on original HH (high-high) components. Similar operation is done on a grayscale watermark image. Then, two unitary and one diagonal matrices are combined to form a digital watermarked image applying inverse discrete wavelet transform (iDWT). The diagonal component of original image is transmitted through secured channel. At the receiver end, the watermark image is recovered using the watermarked image and diagonal component of the original image. Finally, we compare the original and recovered watermark image and obtained perfect normalized correlation. Simulation consequences indicate that the presented scheme can satisfy the needs of visual imperceptibility and also has high security and strong robustness against many common attacks and signal processing operations. The proposed digital image watermarking system is also compared to state-of-the-art methods to confirm the reliability and supremacy.

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“…Thus far, various enhanced genetic algorithms have emerged for image encryption by leveraging the optimization capabilities of GAs to generate high-quality ciphertext images [26][27][28][29], optimizing chaotic sequences [30], and employing genetic operations directly for encryption [10,31,32]. Additionally, some approaches have integrated novel technologies along with GAs to improve the security and efficiency of the resulting cryptosystem [33][34][35]. In 2018, Pashakolaee et al put forward a novel image encryption algorithm (IEA) named Hyper-chaotic Feeded GA (HFGA) [26].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Image Cryptosystem Utilizing Difference Matrix and Genetic Algorithm

Shen,

Shan

2024

Entropy

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Aiming at addressing the security and efficiency challenges during image transmission, an efficient image cryptosystem utilizing difference matrix and genetic algorithm is proposed in this paper. A difference matrix is a typical combinatorial structure that exhibits properties of discretization and approximate uniformity. It can serve as a pseudo-random sequence, offering various scrambling techniques while occupying a small storage space. The genetic algorithm generates multiple ciphertext images with strong randomness through local crossover and mutation operations, then obtains high-quality ciphertext images through multiple iterations using the optimal preservation strategy. The whole encryption process is divided into three stages: first, the difference matrix is generated; second, it is utilized for initial encryption to ensure that the resulting ciphertext image has relatively good initial randomness; finally, multiple rounds of local genetic operations are used to optimize the output. The proposed cryptosystem is demonstrated to be effective and robust through simulation experiments and statistical analyses, highlighting its superiority over other existing algorithms.

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Domain-flexible selective image encryption based on genetic operations and chaotic maps

Cited by 23 publications

References 55 publications

Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution

Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution

A sophisticated and provably grayscale image watermarking system using DWT-SVD domain

An Efficient Image Cryptosystem Utilizing Difference Matrix and Genetic Algorithm

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