EOA-SVM Based Security Risk Assessment Method for Electrical Sensors and Sensor Networks

With the continuous development of electrical sensors and sensor networks, the security of the electrical perception data remains a significant concern. This paper establishes a security hierarchical architecture for electrical sensor networks using the analytic hierarchy process (AHP). Subsequently, a security risk assessment method for electrical sensor networks is developed as a multi-classification model using the entropy optimization algorithm (EOA) and support vector machine (SVM). Finally, the efficacy of the proposed method is confirmed through simulation.