Study on safety risk estimation technology based on stratified indicators

Effective security monitoring in the power distribution Internet of Things (IoT) requires thorough vulnerability analysis. This paper presents a risk assessment method based on hierarchical indicators, integrating real-time threat capture through IoT terminals and cloud platforms. The system uses multiple algorithms to evaluate security indicators, applying a layered approach for comprehensive risk assessment. By analyzing each risk layer, it offers an accurate and dynamic evaluation of security threats across the IoT network. This method enhances risk assessment precision, improves system security, and facilitates quicker recovery from threats. The proposed model strengthens security measures, contributing to enhanced reliability and risk mitigation in power distribution IoT systems.