Abstract: With the development of machine learning, feature selection has become a crucial step to improve model performance and interpretability. However, traditional feature selection methods often ...

Abstract: Pre-trained Transformer models have demonstrated remarkable ability in learning generalizable feature representations for encrypted traffic analysis, driving the development of effective ...