An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

Rashid, Ayesha; Salamat, Nadeem; Prasath, V. B. Surya

doi:10.3390/technologies6010007

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…It should be noted that research in the field of image data hiding has been actively developing in recent years. Steganographic embedding provides an invisible transfer of information within the image [28][29][30]. Watermarks are designed to control the integrity, authenticity, and authorship protection of images.…”

Section: Related Workmentioning

confidence: 99%

An Authorship Protection Technology for Electronic Documents Based on Image Watermarking

2020

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In the field of information technology, information security technologies hold a special place. They ensure the security of the use of information technology. One of the urgent tasks is the protection of electronic documents during their transfer in information systems, including smart systems. This paper proposes a technology for protecting electronic documents containing digital images. The main idea is that the electronic document authorship can be protected by embedding digital watermarks in the images that are contained in this document. The paper considers three cases of using the proposed technology: full copying of an electronic document, copying of images contained in the document, and copying of text. It is shown that in all three cases, the authorship confirmation can be successfully implemented. Some areas of the proposed technology application are described, including augmented reality applications. Computational experiments are conducted with robust watermarking algorithms that can be used within the technology. A scenario of technology implementation is proposed which provides for the joint use of different class algorithms.

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Section: Related Workmentioning

confidence: 99%

An Authorship Protection Technology for Electronic Documents Based on Image Watermarking

2020

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“…Entropy [21] is a statistical measure of randomness that can be used to characterize the texture of the input image. The normalized histogram is an estimate of the underlying probability of pixel intensities, i.e., N/h(i), where h(i) denotes the histogram entry of intensity value in an image and N is the total number of pixel.…”

Section: = ||δ|| ×mentioning

confidence: 99%

Data Hiding Using Sequential Hamming + k with m Overlapped Pixels

2019

KSII TIIS

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Recently, Kim et al. introduced the Hamming + with overlapped pixels data hiding (Hk_ mDH) based on matrix encoding. The embedding rate (ER) of this method is 0.54, which is better than Hamming code HC (, −) and HC (, −) +1 DH (H1DH), but not enough. Hamming code data hiding (HDH) is using a covering function (1, = 2 − 1,) and H1DH has a better embedding efficiency, when compared with HDH. The demerit of this method is that they do not exploit their space of pixels enough to increase ER. In this paper, we increase ER using sequential Hk_mDH (SHk_mDH) through fully exploiting every pixel in a cover image. In SHk_mDH, a collision maybe happens when the position of two pixels within overlapped two blocks is the same. To solve the collision problem, in this paper, we have devised that the number of modification does not exceed 2 bits even if a collision occurs by using OPAP and LSB. Theoretical estimations of the average mean square error (AMSE) for these schemes demonstrate the advantage of our SHk_mDH scheme. Experimental results show that the proposed method is superior to previous schemes.

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“…For example, a method can handle security issues in electronic patient health information/records and other telemedicine applications. This method behaves similar to watermark methods and provides secure and protected transmission of medical information [12].…”

Section: Introductionmentioning

confidence: 98%

Forming the Architecture of a Multi-Layered Model of Physical Data Storage for Complex Telemedicine Systems

Polezhaev,

Tatarkanov,

Alexandrov

2023

HighTech. Innov. J.

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The relevance of this research is determined by the need to study the issues of improving data storage technologies for complex telemedicine systems. The objective is to create a multi-layered data storage model for complex telemedicine systems to ensure the most complete use of their capacity and the timely expansion of existing storage. The research is conducted on the basis of an analysis of existing opportunities and problems in the field of data storage technologies. An analysis of the main features of the development of data storage technologies revealed that the existing models have no detailed description of the recording and physical storage of data bits, which is necessary for describing the storage process. Different architectures are reviewed, and their strengths and weaknesses are discussed. Within the framework of a demonstration experiment using the Kohonen neural network apparatus as a tool for solving the problem of placing objects in accordance with the required parameters, it is shown that the proposed storage system resource management model is operable and allows solving the problem of rational use of physical resources. As a result, a multilevel model of data storage is proposed, which combines the levels of storage process organization and technology. The distinguishing feature of this method is the comparison of storage organization levels, data media, and characteristics of physical storage and stored files. Doi: 10.28991/HIJ-2023-04-04-09 Full Text: PDF

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An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

Cited by 7 publications

References 38 publications

An Authorship Protection Technology for Electronic Documents Based on Image Watermarking

An Authorship Protection Technology for Electronic Documents Based on Image Watermarking

Data Hiding Using Sequential Hamming + k with m Overlapped Pixels

Forming the Architecture of a Multi-Layered Model of Physical Data Storage for Complex Telemedicine Systems

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