Review of medical image authentication techniques and their recent trends

Thabit, Rasha

doi:10.1007/s11042-020-10421-7

Cited by 26 publications

(16 citation statements)

References 142 publications

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“…In 2021, Rasha [21] analyzed a Medical Image Watermarking (MIW) method for image authentication and integrity verification. The current Medical Image Authentication (MIA) methods emphasise the need to achieve robustness against unintended attacks (i.e., image noise and image compression), which are inescapable attacks; hence, the new MIA methods should validate their resilience against these attacks.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel steganographic technique for medical image using SVM and IWT

Chowdhuri

Pal

2023

Multimed Tools Appl

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This study presents an efficient authentication scheme for digital image steganography on medical images benefiting from the combination of both techniques: Support Vector Machine (SVM) and Integer Wavelet Transform (IWT). We use two different strategies in this paper, where SVM is used first to separate the Region of Interest (ROI) from Non-Region of Interest (NROI) in the medical image. Then IWT is applied to embed secret information within the NROI part of the medical image (Cover Image). Moreover, we have applied a circular array and a shared secret key to enhance the robustness of the proposed scheme. The research looked into the various experimental analyses to establish the acceptability of the existing scheme. The simulation is performed to measure the imperceptibility using Peak Signal to Noise Ratio (PSNR) and to test the robustness using the Structural Similarity Index Measure (SSIM). The experimental result shows good imperceptibility with a PSNR of 64 dB and better robustness with a SSIM of 0.96 for the proposed steganographic scheme.

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Section: Literature Reviewmentioning

confidence: 99%

A novel steganographic technique for medical image using SVM and IWT

Chowdhuri

Pal

2023

Multimed Tools Appl

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“…Given these benefits multi-watermarking must balance the invisibility and robustness of watermarked images. Watermarking has previously been applied to medical images [3]. Rahman et al proposed a reversible and fragile watermarking scheme to achieve a high level of secrecy and maintain the integrity of images [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Watermarking Technique for Verifying Medical Images in IOMT Using Fractal Encoding and Concept of UNET

Veena¹

2023

IJFMR

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The Internet of Medical Things, smart healthcare systems are becoming ubiquitous in our daily lives. Patients, doctors, and other medical personnel rely on the safe and efficient storage, transmission, and analysis of electronic health records , medical images such as scanning reports X-rays for successful treatment and management of different ailments. A Multi watermarking method is proposed for medical images based on quantum random walk and optimization algorithm. A logo image is used to verifying medical image integrity is embedding in region of interest and text data are embedded in the region of non interest to conceal private hospital and patient informations. This method improves the authenticity and integrity of medical images. A number of experiments are conducted to validate the security ,robustness and capacity of the proposed multi watermarking scheme.

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“…Watermarking provides several appealing qualities that complement security measures and can provide improved protection for various multimedia applications. Watermarking was used in medical picture applications because of its appealing features, such as security and privacy [24]. Lavanya, in [25], presented a method for watermarking medical photographs that uses a stream cipher to encrypt them.…”

Section: Related Workmentioning

confidence: 99%

Novel Hybrid Fusion-Based Technique for Securing Medical Images

Abdallah

Ateya

2022

Electronics

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The security of images has gained great interest in modern communication systems. This is due to the massive critical applications that are based on images. Medical imaging is at the top of these applications. However, the rising number of heterogenous attacks push toward the development of securing algorithms and methods for imaging systems. To this end, this work considers developing a novel authentication, intellectual property protection, ownership, and security technique for imaging systems, mainly for medical imaging. The developed algorithm includes two security modules for safeguarding various picture kinds. The first unit is accomplished by applying watermarking authentication in the frequency domain. The singular value decomposition (SVD) is performed for the host image’s discrete cosine transform (DCT) coefficients. The singular values (S) are divided into 64 × 64 non-overlapping blocks, followed by embedding the watermark in each block to be robust to any attack. The second unit is made up of two encryption layers to provide double-layer security to the watermarked image. The double random phase encryption (DRPE) and chaotic encryption have been tested and examined in the encryption unit. The suggested approach is resistant to common image processing attacks, including rotation, cropping, and adding Gaussian noise, according to the findings of the experiments. The encryption of watermarked images in the spatial and DCT domains and fused watermarked images in the DCT domain are all discussed. The transparency and security of the method are assessed using various measurements. The proposed approach achieves high-quality reconstructed watermarks and high security by using encryption to images and achieves robustness against any obstructive attacks. The developed hybrid algorithm recovers the watermark even in the presence of an attack with a correlation near 0.8.

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Review of medical image authentication techniques and their recent trends

Cited by 26 publications

References 142 publications

A novel steganographic technique for medical image using SVM and IWT

A novel steganographic technique for medical image using SVM and IWT

Watermarking Technique for Verifying Medical Images in IOMT Using Fractal Encoding and Concept of UNET

Novel Hybrid Fusion-Based Technique for Securing Medical Images

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