Security of medical images for telemedicine: a systematic review

Abstract

Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

Image protection based on the Möbius transform on finite Gaussian fields

“…В настоящее время для криптозащиты цифровых изображений предлагается использовать такие методы как хаотические последовательности [6], случайное преобразование фазы Фурье-образа изображения [7,8], преобразование Арнольда [9], дробное преобразование Меллина [10], а также ряд других методов [11]. В то же время, любое преобразование медицинских данных обязано удовлетворять ультимативному требованию достоверности -расшифрованное изображение должно абсолютно точно соответствовать оригиналу, поскольку расхождение даже в единственном пикселе может повлиять на правильность диагноза [12]. Выполнения этого условия возможно при проведении вычислений в конечных полях, когда отсутствие ошибок округления гарантирует точность преобразований.…”

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

“…In the digital era, medical images are protected to ensure confidentiality and integrity [1]. With advancements in technology and the increased reliance on electronic transmission and storage of medical images, robust encryption techniques are necessary to safeguard sensitive patient information [2].…”

Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification

“…The information in the electronic medical data storage, including: patient identities, diagnosis reports, doctor's consultations, hospital information where the image was created, and other helpful information, can be used anywhere and anytime [1][2][3]. Medical data is susceptible and has great potential value in the era of big data because it is the most important basis for diagnosis in determining diagnostic methods and results [4,5]. Through public networks like the internet, medical professionals frequently exchange digitally created medical images of patients created using various modalities.…”

“…If only the secret key is required to extract the watermark, the https://doi.org/10.31436/iiumej.v24i1.2597 approach is known as blind watermarking [10]. Based on the application, watermarking techniques can be classified as either robust or fragile [1,5].…”