Research on medical image encryption in telemedicine systems

Dai, Yin; Wang, Huanzhen; Zhou, Zixia; Jin, Ziyi

doi:10.3233/thc-161166

Cited by 21 publications

(14 citation statements)

References 9 publications

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“…In this situation, one way of protecting the medical images is through encryption schemes where the images are encrypted in such a way that they become useless for the users with no encryption information in hand. Some of the security solution for telemedicine applications are discussed in [13,32].…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations

Masood

Driss

Boulila

et al. 2021

Wireless Pers Commun

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Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’ X-rays, ultrasounds, computed tomography scans, brain images, and magnetic resonance imaging. However, the low security of communication channels and the loopholes in storage systems of hospitals or medical centres put these images at risk of being accessed by unauthorized users who illegally exploit them for non-diagnostic purposes. In addition to improving the security of communication channels and storage systems, image encryption is a popular strategy adopted to ensure the safety of medical images against unauthorized access. In this work, we propose a lightweight cryptosystem based on Henon chaotic map, Brownian motion, and Chen’s chaotic system to encrypt medical images with elevated security. The efficiency of the proposed system is proved in terms of histogram analysis, adjacent pixels correlation analysis, contrast analysis, homogeneity analysis, energy analysis, NIST analysis, mean square error, information entropy, number of pixels changing rate, unified average changing intensity, peak to signal noise ratio and time complexity. The experimental results show that the proposed cryptosystem is a lightweight approach that can achieve the desired security level for encrypting confidential image-based patients’ information.

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Section: Introductionmentioning

confidence: 99%

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations

Masood

Driss

Boulila

et al. 2021

Wireless Pers Commun

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“…The Logistic map, also known as the insect population model in ecology [ 21 ], is a typical nonlinear chaotic system, which is highly sensitive to the initial state [ 1 ] and can produce complex chaotic behaviors [ 33 ]. This system has been widely used in the research field of medical image encryption [ 1 , 7 , 8 , 10 , 12 , 17 , 20 – 22 , 24 , 27 , 28 , 33 , 37 , 39 , 40 , 43 , 47 , 53 , 54 , 62 , 65 , 68 , 73 , 74 , 76 , 77 ]. The original 1-D Logistic chaotic map can be defined by the following Eq.…”

Section: Preliminariesmentioning

confidence: 99%

A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Zhang

Rahmatullah

Wang

et al. 2022

Multimed Tools Appl

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Modern medical examinations have produced a large number of medical images. It is a great challenge to transmit and store them quickly and securely. Existing solutions mainly use medical image encryption algorithms, but these encryption algorithms, which were developed for ordinary images, are time-consuming and must cope with insufficient security considerations when encrypting medical images. Compared with ordinary images, medical images can be divided into the region of interest and the region of background. In this paper, based on this characteristic, a plain-image correlative semi-selective medical image encryption algorithm using the enhanced two dimensional Logistic map was proposed. First, the region of interest of a plain medical image is permuted at the pixel level, then for the whole medical image, substitution is performed pixel by pixel. An ideal compromise between encryption speed and security can be achieved by full-encrypting the region of interest and semi-encrypting the region of background. Several main types of medical images and some normal images were selected as the samples for simulation, and main image cryptanalysis methods were used to analyze the results. The results showed that the cipher-images have a good visual quality, high information entropy, low correlation between adjacent pixels, as well as uniformly distribute histogram. The algorithm is sensitive to the initial key and plain-image, and has a large keyspace and low time complexity. The time complexity is lower when compared with the current medical image full encryption algorithm, and the security performance is better when compared with the current medical image selective encryption algorithm.

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“…82,83 For image transfer, specific algorithms have been developed, like the Joint Watermarking-Encryption, which offers confidentiality, integrity, authenticity, and traceability functionalities, 84 and newer algorithms that combine traditional image encryption and image hiding with chaos theory, with improved processing. 85 Nonrepudiation implies that a person cannot deny responsibility for a certain transaction. This principle is important to maintain in audits because a person implicated by an audit should not be able to repudiate responsibility.…”

Section: Privacy Concerns and Confidentialitymentioning

confidence: 99%

Telemedicine Applications in Sleep Disordered Breathing

Verbraecken

2016

Sleep Medicine Clinics

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Telemedicine as a means of remote patient-physician interaction is growing and virtual consultations with sleep specialists are feasible. Potential benefits of telemedicine include improved access to health care, reduced waiting time for appointments, and increased adherence to treatment plans. Telematic communications and new information technologies could also be useful to establish diagnostic and therapeutic strategies. It is important to install cost-efficient technologies for an initial simple diagnosis, rapid treatment initiation and for long-term monitoring of treatment adherence and compliance. Diagnostic telemedicine applications include telemonitored polysomnography, long-term polygraphic monitoring, and remote continuous positive airway pressure titration and monitoring.

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Research on medical image encryption in telemedicine systems

Cited by 21 publications

References 9 publications

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations

A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Telemedicine Applications in Sleep Disordered Breathing

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