ECG steganography based on tunable <scp>Q‐factor</scp> wavelet transform and singular value decomposition

Mathivanan, P.; Ganesh, A. Balaji

doi:10.1002/ima.22477

Cited by 13 publications

(2 citation statements)

References 45 publications

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“…Security and privacy issues appear when these data is transmitted over open communication networks [4]. Different instructions and rules are used to preserve patients' privacy when sending and receiving their medical data for diagnosis or research [5,6]. Regardless of the several advantages in this, medical data and images may reach unlicensed people, thus threatening privacy.…”

Section: Introductionmentioning

confidence: 99%

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

et al. 2022

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Recently, piracy and copyright violations of digital content have become major concerns as computer science has advanced. In order to prevent unauthorized usage of content, digital watermarking is usually employed. This work proposes a new approach to digital image watermarking that makes use of the discrete cosine transform (DCT), discrete wavelet transform (DWT), dipper-throated optimization (DTO), and stochastic fractal search (SFS) algorithms. The proposed approach involves computing the discrete wavelet transform (DWT) on the cover image to extract its sub-components, followed by the performance of a discrete cosine transform (DCT) to convert these sub-components into the frequency domain. Finding the best scale factor for watermarking is a significant challenge in most watermarking methods. The authors used an advanced optimization algorithm, which is referred to as DTOSFS, to determine the best two parameters—namely, the scaling factor and embedding coefficient—to be used while inserting a watermark into a cover image. Using the optimal values of these parameters, a watermark image can be inserted into a cover image more efficiently. The suggested approach is evaluated in comparison with the current gold standard. The normalized cross-correlation (NCC), peak-signal-to-noise ratio (PSNR), and image fidelity (IF) are used to measure the success of the proposed approach. In addition, a statistical analysis is performed to evaluate the significance and superiority of the proposed approach. The experimental results confirm the effectiveness of the proposed approach in improving upon standard watermarking methods based on the DWT and DCT. Moreover, a set of attacks is considered to study the robustness of the proposed approach, and the results confirm the expected outcomes. It is shown by the achieved results that the proposed approach can be utilized for practical digital image watermarking, and that it significantly outperforms other digital image watermarking methods.

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Section: Introductionmentioning

confidence: 99%

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

et al. 2022

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“…At the time of transmission over the open network, different security issues also arise, including preserving data's integrity and privacy along with the source authentication [ 5 ]. To date, a variety of guidelines and standards is used to protect patient’s privacy while sharing data for diagnosis or research purposes [ 5 , 9 , 21 ]. Despite several benefits, health data may be redistributed by unauthorized person, which leads to strong security issue.…”

Section: Introductionmentioning

confidence: 99%

Optimization based ECG watermarking in RDWT-SVD domain

Sharma

Anand

Singh

et al. 2021

Multimed Tools Appl

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With the increase in point of care services, communication of digital patient records through open network has multi-folded. This digital data is used to obtain the remote medical assistance from the smart healthcare centres. Protecting this data during transmission is a very big challenge. One of the most important medical data is electrocardiogram (ECG) signal which detects the cardiovascular diseases and any alteration in the signal may affect the diagnosis. In this work, an ECG watermarking based on redundant discrete wavelet transform (RDWT) and singular value decomposition (SVD) is developed. First, the ECG signal is converted into 2-D matrix using pan-tompkins algorithm. Then, we use the hybrid of RDWT and SVD to conceal the patient data and logo image into the 2-D ECG image. We also use hybrid of optimization scheme to improve the robustness of the watermark. Preliminary experimental results indicate the optimal invisibility and robustness result is more effective up to 97.89% than the traditional schemes respectively, which makes it suitable for ownership authentication of ECG signal.

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Reversible ECG Watermarking for Ownership Detection, Tamper Localization, and Recovery

Bhalerao

Ansari

Kumar

2022

Circuits Syst Signal Process

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ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition

Cited by 13 publications

References 45 publications

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

Optimization based ECG watermarking in RDWT-SVD domain

Reversible ECG Watermarking for Ownership Detection, Tamper Localization, and Recovery

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