A Triple-Channel Encrypted Hybrid Fusion Technique to Improve Security of Medical Images

Salama, Ahmed S.; Mokhtar, Mohamed; Tayel, Mazhar B.; Eldesouky, Esraa; Ali, Ahmed

doi:10.32604/cmc.2021.016165

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…The technique is also lossless, which is essential in a healthcare encryption system. For a strategy that is more stealthy, secure, and robust than prior approaches, Salama et al [28] combined the Discrete Wavelet Transform's wavelet-induced multi-resolution decomposition capacity with the energy compaction of the Discrete Cosine Transform. Banik et al [29] presented a method for encrypting a series of medical photos using the elliptic curve analog ElGamal encryption scheme and the Mersenne Twister PRNG.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Internet of Medical Thing Cryptosystem Based on Jigsaw Transformation and Ikeda Chaotic Map

Almakdi¹,

Alshehri²,

Asiri³

et al. 2023

Computer Systems Science and Engineering

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Image encryption has attracted much interest as a robust security solution for preventing unauthorized access to critical image data. Medical picture encryption is a crucial step in many cloud-based and healthcare applications. In this study, a strong cryptosystem based on a 2D chaotic map and Jigsaw transformation is presented for the encryption of medical photos in private Internet of Medical Things (IoMT) and cloud storage. A disorganized three-dimensional map is the foundation of the proposed cipher. The dispersion of pixel values and the permutation of their places in this map are accomplished using a nonlinear encoding process. The suggested cryptosystem enhances the security of the delivered medical images by performing many operations. To validate the efficiency of the recommended cryptosystem, various medical image kinds are used, each with its unique characteristics. Several measures are used to evaluate the proposed cryptosystem, which all support its robust security. The simulation results confirm the supplied cryptosystem's secrecy. Furthermore, it provides strong robustness and suggested protection standards for cloud service applications, healthcare, and IoMT. It is seen that the proposed 3D chaotic cryptosystem obtains an average entropy of 7.9998, which is near its most excellent value of 8, and a typical NPCR value of 99.62%, which is also near its extreme value of 99.60%. Moreover, the recommended cryptosystem outperforms conventional security systems across the test assessment criteria.

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Section: Literature Reviewmentioning

confidence: 99%

A Novel Internet of Medical Thing Cryptosystem Based on Jigsaw Transformation and Ikeda Chaotic Map

Almakdi¹,

Alshehri²,

Asiri³

et al. 2023

Computer Systems Science and Engineering

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“…Salama et al [23] suggested a triple-channel encrypted hybrid fusion technique to improve the robustness, imperceptibility, and security of medical images. Liu et al [24] introduced image watermarking algorithms based on DWT, Hessenberg decomposition (HD), and SVD transforms.…”

Section: Introductionmentioning

confidence: 99%

A Robust Algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and Blowfish Techniques

Salama,

Shoitan,

Abdallah

et al. 2023

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With the rapid proliferation of digital images on the internet, the task of preserving image ownership and ensuring the detection of unauthorized alterations has become increasingly challenging. This study introduces a robust algorithm, leveraging Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Blowfish encryption techniques, designed to maintain copyright integrity and detect image tampering. The proposed algorithm operates on a given RGB host image, first isolating it into its constituent red, green, and blue components. For the purpose of copyright protection, the algorithm applies DWT and DCT to the green component, embedding a watermark logo within it. The blue component is subjected to Blowfish encryption, generating a ciphered blue component that aids in tampering detection. Subsequently, the least significant bits of this ciphered blue component are interchanged with those of the host image's red component, producing a novel red component. This process results in the creation of a watermarked green component, an original blue component, and a newly formed red component. These are then amalgamated to produce the final watermarked image. The proposed method is evaluated using five standard images, with simulation results demonstrating its resilience to various attacks. Importantly, the algorithm exhibits a capacity to detect any unauthorized modifications up to a granularity of 2×2 pixels.

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“…And in the transform domain, where pixel values are transformed into frequency coefficients and then is used to embed, commonly used techniques are Discrete Cosine Transform(DCT) [2,3], Discrete Wavelet Transform(DWT) [4], Discrete Fourier Transform(DFT) [5], there are some improvements on these basic techniques such as Redundant Discrete Wavelet Transformation(RDWT) [6], Quaternion Discrete Fourier transform(QDFT) [7], etc. Sometimes multiple frequency techniques are used in combination such as DCT-DWT [8,9], Dual Tree Complex Wavelet Transform-Discrete Cosine Transform(DTCWT-DCT ) [10] etc. The screen photography process, which is the process of capturing a screen with a mobile phone and generating an image, undergoes analog-to-digital and digital-to-analog conversion attacks [11] and also causes many distortions.…”

Section: Introductionmentioning

confidence: 99%

Robust Watermarking of Screen-Photography Based on JND

Gu¹,

Han²,

Sun³

et al. 2022

Computers, Materials &Amp; Continua

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With the popularity of smartphones, it is often easy to maliciously leak important information by taking pictures of the phone. Robust watermarking that can resist screen photography can achieve the protection of information. Since the screen photo process can cause some irreversible distortion, the currently available screen photo watermarks do not consider the image content well and the visual quality is not very high. Therefore, this paper proposes a new screen-photography robust watermark. In terms of embedding region selection, the intensity-based Scale-invariant feature transform (SIFT) algorithm used for the construction of feature regions based on the density of feature points, which can make it more focused on the key content of the image; in terms of embedding strength, the Just noticeable difference (JND) model is applied to limit the intensity of the watermark embedding according to the luminance and texture of the picture to balance robustness and invisibility; after embedding watermark, the coefficients in the neighborhood are again adjusted with optimal constraints to improve the accuracy of watermark extraction. After experiments, it is shown that the method we proposed can improve the correct rate of watermark extraction, the quality of the visual aspect of the watermarked picture is also improved.

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A Triple-Channel Encrypted Hybrid Fusion Technique to Improve Security of Medical Images

Cited by 7 publications

References 20 publications

A Novel Internet of Medical Thing Cryptosystem Based on Jigsaw Transformation and Ikeda Chaotic Map

A Novel Internet of Medical Thing Cryptosystem Based on Jigsaw Transformation and Ikeda Chaotic Map

A Robust Algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and Blowfish Techniques

Robust Watermarking of Screen-Photography Based on JND

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