Predicting the Risk of Unauthorized Theft of Grid Identification Information Under IoT Technology

The power grid field usually has a complex network topology. In order to reduce the power grid security risks, this paper proposes a risk prediction method unauthorized theft of power grid identity information under the Internet of Things technology. By using the Internet of Things technology and vulnerability scanning tools, the risk of unauthorized theft of grid identity information is quantified, and the severity of different vulnerabilities is considered, using the fuzzy hierarchical analysis method for risk assessment. The research results show that prediction error of the proposed method is small, and the device authentication strength is high.