A Dual Chaotic Encryption Method for Lightweight Infrared Image

Chen, Zhihua; Srivastava, Gautam

doi:10.1007/s11036-021-01906-2

Cited by 5 publications

(6 citation statements)

References 20 publications

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“…The lightweight infrared image is encrypted by double scrambling of pixel position and bit, which means the dual chaotic encryption. Experimental results show that both the security coefficient, signal-tonoise ratio, and encryption efficiency are high than SOTA [13].…”

Section: Image Based Information Processingmentioning

confidence: 97%

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Advanced Machine Learning Based Mobile Multimedia Application

Chen

Liu

2022

Mobile Netw Appl

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Section: Image Based Information Processingmentioning

confidence: 97%

“…The second section of this issue includes four papers, which focuses on the novel image processing methods except recognition, such as image enhancement, encryption, etc. [11][12][13][14].…”

Section: Image Based Information Processingmentioning

confidence: 99%

Advanced Machine Learning Based Mobile Multimedia Application

Chen

Liu

2022

Mobile Netw Appl

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“…The Structural Similarity Index Measure (SSIM) quantifies the resistance of an encryption algorithm to chosen plain-text attacks, considering that the original image is compared to the recovered image using the chaotic values generated when the special image is ciphered. This metric is defined according to Equation (12), in which C 1 is the original image, C 2 the recovered image, µ C1 and µ C2 are the mean pixel values of C 1 and C 2 , σ 2 C1 and σ 2 C2 the variances of these pixel values, σ C1C2 is the covariance while k 1 = 0.01, k 2 = 0.03 are default constants.…”

Section: Chosen Plain-text Attacksmentioning

confidence: 99%

“…In the context of image encryption, there are drawbacks considering features of images such as redundancy, similarity of adjacent pixels, along with large file sizes [7,41]. Digital images are estimated to represent around 70% of the files exchanged over the Internet [6], meaning that new techniques are being researched, and one of these techniques is the coupling of chaos theory and cryptography [9,12,18,22,23,29,32,33,36,38,42,45,48].…”

Section: Introductionmentioning

confidence: 99%

A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra,

Camargo,

Soares

et al. 2024

Preprint

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The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one of the most widely shared data, and chaotic ciphers arouse significant interest from researchers, as traditional ciphers are optimized for text encryption. Chaotic encryption schemes perform well for low-quality images, however, they are not fast enough for real-time encryption of Full Ultra HD images. Hence, a novel cipher to be executed in GPU architectures is proposed, where the encryption procedure consists of a single kernel, making it different from previous chaotic works and also from the AES. This enables our work to achieve a throughput of 130.8 GB/s on a GeForce RTX3070 and 251.6 GB/s on a Tesla V100 GPU, an increase of 37\% compared to the AES, and 43 times higher than the previously high for chaotic ciphers. The cipher's security is also verified regarding multiple forms of attacks.

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“…The perceptual quality of the encrypted image is measured by PSNR and SSIM, which indicates the similarity between the encrypted image and the corresponding original image. PSNR [38] is represented as (10) Where R is the maximum pixel intensity. The Mean Square Error (MSE) is defined as…”

Section: Perceptual Quality Evaluationmentioning

confidence: 99%

An Improved Encryption–Compression-based Algorithm for Securing Digital Images21

Singh

2023

J. Data and Information Quality

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Nowadays, there is an increasing tendency to upload images to online platforms acting as information carriers for various applications. Unfortunately, the unauthorized utilization of such images is a serious concern that has significantly impacted security and privacy. Although digital images are widely available, the storage of these images requires a large amount of data. This study aims to address these issues by developing an improved encryption–compression-based algorithm for securing digital images that reduces unnecessary hardware storage space, transmission time and bandwidth demand. First, the image is encrypted using chaotic encryption. Then the encrypted image is compressed using wavelet-based compression in order to make efficient use of resources without any information about the encryption key. On the other side, the image is decompressed and decrypted by the receiver. The security assessment of the proposed algorithm is performed in different ways, such as differential and statistical, key sensitivity and execution time analysis. The experimental analysis proves the security of the method against various possible attacks. Furthermore, the extensive evaluations on a real dataset demonstrate that the proposed solution is secure and has a low encryption overhead compared to similar methods.

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A Dual Chaotic Encryption Method for Lightweight Infrared Image

Cited by 5 publications

References 20 publications

Advanced Machine Learning Based Mobile Multimedia Application

Advanced Machine Learning Based Mobile Multimedia Application

A novel single kernel parallel image encryption scheme based on a chaotic map

An Improved Encryption–Compression-based Algorithm for Securing Digital Images21

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