Dongeon Kim, Jihun Han, Jinwoo Lee, Heejun Roh, Wonjun Lee
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Poster: Feasibility of Malware Traffic Analysis through TLS-Encrypted Flow Visualization
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.