Application research of dynamic chaotic sequence generation mechanism in pre-hospital emergency data encryption

In the context of pre-hospital emergency care, the security of patients' physiological data has become increasingly important due to the widespread use of portable and wearable devices. This study aims to explore the application of dynamic chaotic sequence generation mechanisms for data encryption in pre-hospital emergency.

In this study, a chaotic encryption method is proposed in which the initial key is generated using characteristic waveforms and iterative counting, and the dynamic key update is performed using the time-varying properties of pulse-wave signals and the sensitivity of chaotic sequences. The algorithm is capable of adapting its complexity to the requisite security level, whilst concomitantly managing energy consumption. The chaotic encryption scheme under scrutiny consists of normalizing the pulse waveform and iteratively applying Tent and Logistic mappings to generate pseudo-random sequences.

The system has been subjected to rigorous autocorrelation, SEN, NIST (National Institute of Standards and Technology) stochasticity tests, and cryptographic security evaluations. The results of these tests demonstrate that the combined chaotic system effectively mitigates the cyclic effect and enhances stochasticity. The analysis revealed that the cryptographic performance of the 32-bit fixed-point system in image encryption is comparable to that of the floating-point system, ensuring high efficiency and security of encryption.

This study highlights the potential of dynamic chaotic sequence generation for secure data transmission in emergency medical environments and paves the way for further exploration and optimization in real-time applications.