Security of multiple <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si12.svg"><mml:mi mathvariant="sans-serif">RGB</mml:mi></mml:math> images by RSA cryptosystem combined with FrDCT and Arnold transform

Guleria, Vandana; Sabir, Shazia; Mishra, Deep Chandra

doi:10.1016/j.jisa.2020.102524

Cited by 16 publications

(10 citation statements)

References 41 publications

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“…Moreover, a hash verification step was utilized in decryption process to resist chosen-plaintext attacks. In order to improve the security of image transmission, RSA cryptosystem, reality preserving fractional discrete cosine transform, and Arnold transform were implemented into a novel approach [47] for security of multiple-color images. In the process of encryption, firstly, color images are divided into red, green, and blue components.…”

Section: Related Workmentioning

confidence: 99%

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Lin

2021

Security and Communication Networks

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This research proposes a new image encryption scheme based on Lorenz hyperchaotic system and Rivest–Shamir–Adleman (RSA) algorithm. Firstly, the initial values of the Lorenz hyperchaotic system are generated by RSA algorithm, and the key stream is produced iteratively. In order to change the position and gray value of the pixel, the image data are hidden by additive mode diffusion. Secondly, the diffusion image matrix is reshaped into a one-dimensional image matrix, which is confused without repetition to hide the image data again. Then, the finite field diffusion algorithm is executed to realize the third hiding of the image information. In order to diffuse the pixel information into the entire cipher image, the additive mode diffusion algorithm needs to be looped twice. Finally, the cipher image can be obtained. The experimental results prove that the image encryption scheme proposed in this research is effective and has strong antiattack and key sensitivity. Moreover, the security of this encryption scheme relies on the RSA algorithm, which has high security.

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Section: Related Workmentioning

confidence: 99%

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Lin

2021

Security and Communication Networks

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“…The number of iterations is proportional to the size of the image and is referred to as the Arnold period. 25,28,29 algorithm to destroy the statistical correlation between those elements. After obtaining the new sequence of items for the scattered column, this sequence is applied to all columns and repeated for the rows.…”

Section: Arnold Transformmentioning

confidence: 99%

“…The image will become scrambled after several repetitions. The number of iterations is proportional to the size of the image and is referred to as the Arnold period 25 , 28 , 29 …”

Section: Chaos Theorymentioning

confidence: 99%

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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Growing reliance on digital communications has necessitated development of dependable and secure technologies to ensure that the transmission and reception of images over the Internet do not pose a risk to the data of individuals and governments. We propose developing a hybrid image encryption and compression algorithm by combining compressive sensing, the gray wolf algorithm, and multidimensional chaotic systems. It aims to generate a highly secure encrypted image while conserving transmission and storage resources. This algorithm overlaps several stages designed to protect vital images while minimizing size. First, the image is converted to the frequency domain using the discrete wavelet transform. Then, the discrete wavelet transform coefficients are scrambled globally using the Waleed-Ali Map and the gray wolf algorithm. Second, the confused image is measured by a parameters-controlled matrix to reduce transmission costs. The final encrypted image is obtained after performing the diffusion operation with a bitstream derived from the Nahrain chaotic map. The average peak signal-to-noise ratio score was 53.1995, and the average mean squared error score was 0.6130, demonstrating that the plaintext and decrypted images are identical. The average correlation coefficient score was −0.010095; the average entropy analysis was 7.9987; and the average number of pixel change rate and unified average changing intensity analyses were 99.60 and 33.52, respectively. The experimental results demonstrate the algorithm's efficiency and robustness, as well as the high quality of the reconstructed image.

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“…Recently, Guleria et al [176] proposed to encrypt three RGB images simultaneously using RSA cryptosystem followed by a discrete reality preserving FrCT and the final stage of scrambling with Arnold transform. To accomplish multiple image encryption, 3 RGB images are combined into a single image using a single color component of each image as R,G,B components.…”

Section: Double Image (T )/Multiple Image (T )mentioning

confidence: 99%

Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

Kaur

Agarwal

Patidar

2022

Front. Appl. Math. Stat.

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With the enormous usage of digital media in almost every sphere from education to entertainment, the security of sensitive information has been a concern. As images are the most frequently used means to convey information, the issue related to the privacy preservation needs to be addressed in each of the application domains. There are various security methods proposed by researchers from time to time. This paper presents a review of various image encryption schemes based on fractional integral transform. As the fractional integral transforms have evolved through their applications from optical signal processing to digital signal and digital image processing over the decades. In this article, we have adopted an architecture and corresponding domain-based taxonomy to classify various existing schemes in the literature. The schemes are classified according to the implementation platform, that may be an optical setup comprising of the spatial modulators, lenses, and charge-coupled devices or it can be a mathematical modeling of such transforms. Various schemes are classified according to the methodology adopted in each of them and a comparative analysis is also presented in tabular form. Based on the observations, the work is converged into a summary of various challenges and some constructive guidelines are provided for consideration in future works. Such a narrative review of encryption algorithm based on various architectural schematics in fractional integral transforms has not been presented before at one place.

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Security of multiple RGB images by RSA cryptosystem combined with FrDCT and Arnold transform

Cited by 16 publications

References 41 publications

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

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