Measurement Automation Terminal Security Assessment Based on Bayes Network

In the increasingly complex environment of the power network, the metering automation terminals of the power system face more and more security threats. The stability of the power system is based on the safety of the metering automation terminal, but the assessment of the safety risk of the metering automation terminal has the problems of difficulty in determining the indicators and low accuracy of the evaluation results. To improve the accuracy and effectiveness of the security assessment of the measurement automation terminal, this paper establishes a security assessment index system for the measurement automation terminal and effectively evaluates the terminal. Firstly, the terminal security evaluation index system is established from the three aspects of hardware, application, and network. Secondly, based on the weights of the evaluation indicators qualitatively analyzed by the AHP method, the judgment matrix is checked by the consistency analysis, and the subjective weights of the risk evaluation indicators are obtained. Then, the index weight is dynamically adjusted through the Bayesian prior probability property to obtain the objective weight of the evaluation index, and the comprehensive weight is calculated through the combined weighting to realize the monitoring and evaluation of the measurement automation terminal behavior. Finally, the simulation experiments are carried out. The results show that the security goal of the power metering automation system depends to a large extent on the hardware environment and application security.