Security Analysis of Medical Image Encryption using AES Modes for IoMT Systems
Zied Guitouni, Mohammed Ali Ghaieb, Mohsen Machhout · International Journal of Computer Applications · 2023
The Internet of Medical Things (IoMT) driven health is the most advantageous aspect of technology in the global healthcare industry.Securing medical images in IoMT systems is a great challenge to protecting medical privacy.Many cryptographic schemes that provide the confidentiality and integrity of these images over IoMT devices are proposed.The Advanced Encryption Standard (AES), is one of the most standards used in digital image security systems, it employs five encryption modes.In this paper, the security analysis of medical images encryption was described for IoMT Systems using the AES modes.For the evaluation and analysis of security performance, several tests were employed such as the quality of the encrypted images, the Peak Signal to Noise Ratio (PSNR), the histogram analysis, the correlation between the adjacent pixels, and the encryption/decryption times for the five modes.