Real-time medical image encryption for H-IoT applications using improved sequences from chaotic maps

Abstract

A new medical cryptosystem based on four chaotic maps is presented as a case study. The message queuing telemetry transport (MQTT) protocol is used in this research to propose an end-to-end chaotic encryption technique that would enhance security and secrecy to the transmission of medical images from any Healthcare Internet of Things (H-IoT) device connected to the Internet. The maximal Lyapunov exponent (LE), the analysis of bifurcation diagrams, the Statistical Test Suit from the National Institute of Standard and Technology in the Special Publication 800–22 (NIST SP 800–22), and TestU01 statistical tests are used to evaluate the randomness of the sequences. The proposed medical image encryption technique is confirmed to be strong enough to withstand most current assaults, including differential attacks, the correlation between adjacent pixels, statistical histograms, entropy, key-space, and key-space attacks. The suggested cryptosystem is suitable for edge computing devices and has throughputs of up to 10.53 Mbit/s on a Raspberry Pi 4 (RPi4) and 47.44 Mbit/s utilizing a 2.9 GHz CPU on a desktop PC with improved sequences from the Logistic 1D map. Because of this, the proposed embedded medical cryptosystem may be used to strengthen the security of real-time medical image transmission across WiFi networks and the Internet.