A Review of Digital Watermarking Applications for Medical Image Exchange Security

Allaf, Abdelhay Hassani; Kbir, M. Aït

doi:10.1007/978-3-030-11196-0_40

Cited by 22 publications

(12 citation statements)

References 6 publications

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“…Telehealth involves telesurgery, telediagnosis, teleconferences, and other medical applications. Telemedicine connects specialists and patients separated by a physical distance [55]. Therefore, to ensure the confidentiality, authenticity, integrity, and availability associated with In reference [53], a three-level image watermarking embedding technique has been proposed for integrity verification.…”

Section: Medical Applicationsmentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Section: Medical Applicationsmentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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“…Medical image is a type of medical information that is considered as the heart of telemedicine, whereby it is used for several purposes including treatment, diagnosis, training, remote learning, and medical consultations between radiologists and clinicians (8). Dealing with digital medical image, despite its great utility in modern healthcare, raises many new security problems through legal and ethical mechanisms for local archiving and remote medical services (9).…”

Section: Medical Image Domainmentioning

confidence: 99%

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

2021

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The rapid development of telemedicine services and the requirements for exchanging medical information between physicians, consultants, and health institutions have made the protection of patients’ information an important priority for any future e-health system. The protection of medical information, including the cover (i.e. medical image), has a specificity that slightly differs from the requirements for protecting other information. It is necessary to preserve the cover greatly due to its importance on the reception side as medical staff use this information to provide a diagnosis to save a patient's life. If the cover is tampered with, this leads to failure in achieving the goal of telemedicine. Therefore, this work provides an investigation of information security techniques in medical imaging, focusing on security goals. Encrypting a message before hiding them gives an extra layer of security, and thus, will provide an excellent solution to protect the sensitive information of patients during the sharing of medical information. Medical image steganography is a special case of image steganography, while Digital Imaging and Communications in Medicine (DICOM) is the backbone of all medical imaging divisions, whereby it is most broadly used to store and transmit medical images. The main objective of this study is to provide a general idea of what Least Significant Bit-based (LSB) steganography techniques have achieved in medical images.

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“…The performances of the video processing attacks are low for this algorithm. Ling et al proposed a watermarking technique for video based on the affine invariant features [13]. This technique was appropriate for DCT‐based compressed video.…”

Section: Introductionmentioning

confidence: 99%

“…This method was robust for image processing attacks not for video processing attacks. Allaf and Kbir [13] analysed the different watermark algorithms for its less processing time. Usually, CWT‐based methods produce reasonable quality in terms of imperceptibility and robustness for image processing and geometrical attacks, except some of the video processing attacks.…”

Section: Introductionmentioning

confidence: 99%