Malicious encrypted traffic detection method based on multi-granularity representation under data imbalance conditions

Tao Li, Zhiwei Yang, Wenshan Li, Linfeng Du, Xiaolong Lan, Junjiang He

Abstract: Highlights•Multi-granularity characterization of behavioral and temporal features.•Utilize data efficiently and mitigate imbalance impact by constructing prompt samples.•Build detection model to enhance detection of malicious encrypted traffic.