Efficient SVD speech watermarking with encrypted images

El‐Gazar, Safaa; Abbas, Alaa M.; El-Dolil, Sami A.; El-Dokany, Ibrahim M.; Dessouky, Moawad I.; El-Rabaie, El-Sayed M.; El‐Samie, Fathi E. Abd

doi:10.1007/s10772-018-9531-8

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…It is determined that research work offered various works on image watermarking [ 6 , 9 ]. Generally, there are rare contributions to multiple image watermarking techniques.…”

Section: Preliminaries and Related Workmentioning

confidence: 99%

An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems

Alshathri

Hemdan

2023

Multimed Tools Appl

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In recent times, the security of communication channels between healthcare entities in Medical Internet of Things (MIoT) systems becomes a significant issue to facilitate and guarantee the exchange of medical image and expertise securely. This paper presents an efficient audio watermarking scheme employing professionally Wavelet-based Image Fusion, Arnold transforms, and Singular Value Decomposition (SVD) for the secure transmission of medical images and reports in the MIoT applications. The essential consequence of the proposed scheme is to first syndicate two medical watermarks into a fused watermark to upsurge the payload of the inserted medical images. The fused watermark is then scrambled utilizing Arnold transform. Lastly, the Arnold fused watermark is inserted in the audio signal using the SVD algorithm following converting it into a 2D format. The choice of the Arnold transform for watermark is ascribed to settling robustness that skirmishes respective types of severe attacks. Several assessment metrics such as SNR, LLR, SNRseg, SD, and Cr are used to evaluate the audio watermarked signal and extracted watermarks The results reveal that the proposed audio watermarking scheme increases the capacity with more embedded medical images and security of implanted medical images transmission deprived of affecting the quality of audio signals, especially for IoT-based Telemedicine systems.

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“…It is determined that research work offered various works on image watermarking [ 6 , 9 ]. Generally, there are rare contributions to multiple image watermarking techniques.…”

Section: Preliminaries and Related Workmentioning

confidence: 99%

An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems

Alshathri

Hemdan

2023

Multimed Tools Appl

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“…This technique can be used to hide information in audio signals and build a multi-level security hierarchy. El-Gazar et al 22 suggested the utilization of the data encryption standard (DES) and an SVD-based speech watermarking algorithm. In this proposal, the DES algorithm is used to produce an encrypted watermark image.…”

Section: Related Workmentioning

confidence: 99%

Secure audio signal transmission based on color image watermarking

Dandooh¹,

El‐Fishawy

El‐Samie

et al. 2021

Security and Privacy

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This paper presents a new color image watermarking system with encrypted audio signals using singular value decomposition (SVD), Arnold, and chaotic techniques for secure audio transmission over open channels. This system is based on embedding encrypted audio watermarks after transforming them into a 2-D format in the singular values of the color cover image components. Three different audio watermarks are embedded in the three color image components after separating the cover image into its red, green and blue components. The three resulting watermarked components are merged again to produce the final color watermarked image. To maintain the audio signal quality, we estimate some audio signal quality metrics after converting the audio signal into a 1-D format. The transformation from the 1-D to 2-D formats is performed through lexicographic ordering. Simulation results demonstrate that the proposed system preserves the high quality of the RGB cover image. In addition, the audio watermark extraction and decryption are possible, even in the presence of attacks. Furthermore, the results show an enhancement in the watermark detectability in the presence of severe attacks, such as rotation, blurring, cropping, histogram equalization, and noise addition to the watermarked images.

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