Seung Hyun Lee

Context-Driven Security Event Classification for Heterogeneous IoT Network Operations

An explainable ensemble learning framework for anomaly detection in smart grid communication traffic that combines Random Forest, LightGBM, and Gradient Boosting through a weighted soft-voting mechanism to improve detection stability under imbalanced attack distributions is proposed.