Security of medical images for telemedicine: a systematic review

• Published in: Multimedia tools and applications Vol. 81; no. 18; pp. 25101 - 25145
• Main Authors: Magdy, Mahmoud, Hosny, Khalid M., Ghali, Neveen I., Ghoniemy, Said
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2022; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Biometrics; Brain research; Classification; Computer Communication Networks; Computer Science; Coronaviruses; COVID-19; Cryptography; Data Structures and Information Theory; Deep learning; Disease transmission; Image transmission; Magnetic resonance imaging; Medical imaging; Medical research; Multimedia; Multimedia Information Systems; Neural networks; Security; Signal processing; Special Purpose and Application-Based Systems; Steganography; Systematic review; Telemedicine; Copyright; Steganography; Medical images; Cryptography; Attacks; Watermarking
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-022-11956-7

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.