Application of intelligent Internet of Things technology in the security monitoring system of power Internet of Things network

Abstract

This paper proposes AEAD (Authentication, Encryption and Anomaly Detection) approach for secure IoT healthcare monitoring. The authentication protocol is proposed based on the hash and XoR with biometric cryptographic operation. The medical data is encrypted using XoR based encoding scheme. Next, an efficient machine learning based algorithm is used to detect the anomaly medical data. Different evaluation metrics (Computational Cost, Encryption Time, Decryption Time, and Accuracy) are used to analyze the performance of the AEAD approach. The practical tests and analysis have demonstrated the practicality and efficacy of the monitoring system. The results indicate that it is capable of efficiently analyzing large amounts of medical data and effectively predicting and mitigating security risks in IoT systems.