Two-level security approach combining watermarking and encryption for securing critical colored images

Fkirin, Alaa; Attiya, Gamal; El‐Sayed, Ayman

doi:10.1007/s11082-021-02875-2

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…The proposed approach scrambles the pixel locations of colored images into two stages. First, the original image is distributed into 64 blocks, which is rotated by 90° clockwise 24 …”

Section: Proposed Methodologymentioning

confidence: 99%

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Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Shanmugam¹,

Nagarajan²

2022

Concurrency and Computation

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The electronic transmission of radiographic images from one geographical location to another location is known as teleradiology. Radiological image processing issues occurred during the transmission across various medical image workstations have been handled by this approach, in order to provide various health care activities. (i.e., diagnosis, medical practicing, consulting second opinion, or treatment and monitor a patient). The major difficulties of remote transmission process are privacy, safety, image retention, etc. A noise-tolerant signal is being implanted with a digital watermark furtively (e.g., an image, symbol, audio, video, etc.), concerning the typical identification of the signal's patent. The intention of utilizing digital watermarks is either to validate the carrier signal's authenticity and ethics or to reveal its patent holder's identity, to provide protected transmission. In this work, watermarking approach is implemented to integrate biometrics with cryptography. The entropy-based fingerprint feature has been extracted for generating the key to process the cryptography, and digital imaging and communications in medicine (DICOM) images. To obtain secure transmission, two-level discrete wavelet transform method is employed for watermarking the cover image with encrypted image. Subsequently, the receiver can extract the watermarked image by using watermarking keys. This method is proposed to access the diagnostic image with privacy, accessibility, and reliability. The anticipated outputs of the proposed approach have been assessed based on factors such as structural similarity index measures (SSIM), normalized correlations (NC), and peak-signal-to-noise ratio (PSNR).

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“…The proposed approach scrambles the pixel locations of colored images into two stages. First, the original image is distributed into 64 blocks, which is rotated by 90° clockwise 24 …”

Section: Proposed Methodologymentioning

confidence: 99%

“…First, the original image is distributed into 64 blocks, which is rotated by 90 • clockwise. 24 Second, add more scrambling of blocked image pixels using 2D Arnold Cat mapping. By changing the gray values of the image pixels, the trundling mechanism is combined with the distribution mechanism in order to encrypt the scrambling image.…”

Section: Cryptosystemmentioning

confidence: 99%

Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Shanmugam¹,

Nagarajan²

2022

Concurrency and Computation

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“…Their experimental results showed that even after the watermarked image suffered from attacks; the watermark image will still be recognized. In [ 13 ], Fkirin et al realized that watermarking alone sometimes is not enough. When watermarking is used to hide critical data into a cover image to secure it, the critical hidden data may be attacked, damaged, or extracted with other parties.…”

Section: Digital Watermarkingmentioning

confidence: 99%

Copyright protection of deep neural network models using digital watermarking: a comparative study

Fkirin

Attiya

El‐Sayed

et al. 2022

Multimed Tools Appl

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Nowadays, deep learning achieves higher levels of accuracy than ever before. This evolution makes deep learning crucial for applications that care for safety, like self-driving cars and helps consumers to meet most of their expectations. Further, Deep Neural Networks (DNNs) are powerful approaches that employed to solve several issues. These issues include healthcare, advertising, marketing, computer vision, speech processing, natural language processing. The DNNs have marvelous progress in these different fields, but training such DNN models requires a lot of time, a vast amount of data and in most cases a lot of computational steps. Selling such pre-trained models is a profitable business model. But, sharing them without the owner permission is a serious threat. Unfortunately, once the models are sold, they can be easily copied and redistributed. This paper first presents a review of how digital watermarking technologies are really very helpful in the copyright protection of the DNNs. Then, a comparative study between the latest techniques is presented. Also, several optimizers are proposed to improve the accuracy against the fine-tuning attack. Finally, several experiments are performed with black-box settings using several optimizers and the results are compared with the SGD optimizer.

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“…Generally, watermarking is applied to hide or embed a message in a cover image so that authenticity and copyright can be proved when asked for (Fkirin et al. 2021 ). The watermark applied can be visible or invisible.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy proximity-based robust data hiding scheme with interval threshold

2022

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Secret communication of sensitive data must progress in a trustworthy environment through data hiding. Using Mamdani fuzzy logic to identify color proximity at the block level and a shared secret key and post-processing system, this paper attempts to develop a robust data hiding scheme with similarity measures to ensure good visual quality, robustness, imperceptibility and enhance the security. In accordance with the Gestalt principle, proximity among the nearby objects is higher, whose value varies from expert to expert. Therefore, a possibility for type-I fuzzy logic to be used to evaluate proximity. Fuzzy proximity is computed by means of a difference in intensity (colordiff) and distance (closeness). Further, the block color proximity obtained from the proximity calculation network is graded using an interval threshold. Accordingly, data embedding is processed in the sequence generated by the shared secret keys. The tampering coincidence problem is solved through a post-processing approach to increase the quality and accuracy of the recovered secret message. The experimental analysis, steganalysis and comparisons clearly illustrate the effectiveness of the proposed scheme in terms of visual quality, structural similarity, recoverability and robustness.

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Two-level security approach combining watermarking and encryption for securing critical colored images

Cited by 7 publications

References 25 publications

Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Copyright protection of deep neural network models using digital watermarking: a comparative study

Fuzzy proximity-based robust data hiding scheme with interval threshold

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