Poster: Feasibility of Malware Traffic Analysis through TLS-Encrypted Flow Visualization
Dong-Eon Kim, Jihun Han, Jinwoo Lee, Heejun Roh, Wonjun Lee · 2020
With the wide adoption of TLS, malware's use of TLS is also growing fast. However, fine-grained feature selection in existing approaches is too burdensome. To this end, we propose to visualize TLS-encrypted flow metadata as an image for better malware traffic analysis and classification. We discuss its feasibility and show some preliminary classification results with high accuracy.