Research on Feistel Encryption Algorithm Based On Wireless Medical Sensor Networks

Wireless Sensor Network (WSN) combines wireless communication and distributed processing technology, and is widely used in military, precision agriculture, medical, environmental monitoring, and intelligent transportation, especially in patient data collection, mobile monitoring, and real-time monitoring. However, WSN faces patient information security issues in medical applications. This article proposes a WSN group encryption algorithm based on chaos theory and performs data compression. The article briefly introduces the concept, characteristics, and security threats of WSN, and elaborates on the basic theory of chaotic encryption technology and its differences from traditional cryptography. In response to the problems of medical information leakage and insufficient existing encryption algorithms, we propose a chaotic block encryption algorithm using the Feistel structure. By using integer chaotic mapping and introducing long period random sequences for XOR operation, we solve the short period problem, improve security, and save energy. In addition, a data compression algorithm based on regression models was designed to address the characteristics of large data volume, high redundancy, and strong real-time performance in medical monitoring. By dynamically adjusting the sampling time and regression model parameters, the compressed data is closer to actual changes, significantly improving compression performance and extending network lifespan. Prioritize vital sign data based on its importance to ensure real-time data transmission. The chaotic encryption algorithm proposed in the experiment has good confusion and diffusion characteristics, which can effectively protect the security of patient data. The compression algorithm reduces data redundancy and WSN node energy consumption, achieving remote monitoring of patient vital signs, enabling doctors to timely grasp the condition and formulate treatment plans. Priority setting ensures rapid transmission of emergency data and earns valuable treatment time for patients.