Resilience-Oriented Cyber Risk Recognition in Smart Grid Communication Infrastructures
An interpretable ensemble learning model for anomaly detection in cloud-native microservice traffic that combines XGBoost, Extra Trees, and Gradient Boosting classifiers to detect abnormal service communication patterns, while SHAP analysis is used to interpret service-level feature contributions.