Two Heads Are Better Than One: Models-to-Model Learning for Encrypted Traffic Analysis
Encrypted traffic analysis (ETA) plays a critical role in detecting malicious activities. Although machine learning-based ETA has shown significant promise, existing methods heavily depend on large-scale, manually labeled data. Meanwhile, the research community has released numerous publicly available encrypted traffic...