Comparative analysis of the mental health status IoT assisted monitoring of the elderly under the background of big data

Comparative analysis of the mental health status IoT assisted monitoring of the elderly under the background of big data is conducted in this study. Anomaly detection algorithms based on statistics, distance, density, depth and offset are used to analyze the operating status of the equipment in real time and identify abnormal behaviors in the network. Proxy re-encryption refers to the ability of a semi-trusted agent to use the re-encryption key to convert a public key ciphertext intended for the data owner into a public key ciphertext intended for the data consumer, this tool is applied to the monitoring process. The model is tested on the assisted monitoring of the elderly under the background of big data. The model is simulated on the different applications. The monitoring accuracy is high.