Abstract
Abstract. Recent years have seen a new amalgamation between Remote virtual doctor systems and healthcare IoT applications which plays a crucial role in enhancing patient’s healthcare life. The Remote VDS connected with smart Healthcare devices through the wireless network to be accessible anytime and anywhere is anticipated to treat rapidly valuable and confidential data such as personal medical images. Therefore, quick medical image encryption is an essential task in healthcare topic. Some medical image encryption research like the Scan methodology proposed for Remote VDS suffers from a long computational time. Then, the patient will confront difficulty on treatment availability in real-time and especially for critical situations. To overcome this problem, in this work, three medical image encryption methods are compared, (1) A Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications, (2) A new chaotic map with dynamic analysis and encryption application on the Internet of Health Things, and (3) Robust medical image encryption based on DNA chaos method. The comparison results have proven that the new chaotic map with a dynamic analysis scheme has high-security analysis and performances with low computational time compared to other methods. That makes it a good candidate for the H-IOT-RVDS environment connecting over 5G technology like a cellular network to enable connectivity between nodes.
Highlights
Medical innovations nowadays are becoming an increasingly important lever inquest of improving efficiency
(El- Shafai et al, 2021) develop Robust medical image encryption based on de-oxyribo nucleic acid (DNA) chaos method as a strong cryptosystem for securing telemedicine and healthcare application
The absence of medical image encryption used in RVDS enabled H-IoT over 5G exposes a new challenge in this term
Summary
Medical innovations nowadays are becoming an increasingly important lever inquest of improving efficiency. Providing a real-time monitoring of individual’s health conditions, quick access to the database, Rapid diagnosis, prevention in critical situations, and first detection of improvements in related health patterns of the patient (Mallios, 2018). These qualities are offered by the combination of both developed technologies; the Virtual Doctor (VD) system and healthcare IoT applications. In other cases, the VD machines can remotely treatthe patient with the help of smart health care technology (Karthik et al, 2014; Barakah et al, 2012; Venkataraman et al, 2020)
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