@inproceedings{c7580739f55f4ab7a883e7c18c43a637,
title = "Poster: Feasibility of Malware Traffic Analysis through TLS-Encrypted Flow Visualization",
abstract = "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.",
keywords = "Mal-ware, Malware Family, TLS Flow Metadata, Transport Layer Security (TLS), Visualization",
author = "Dongeon Kim and Jihun Han and Jinwoo Lee and Heejun Roh and Wonjun Lee",
note = "Funding Information: ACKNOWLEDGMENT This research was supported by Korea Institute of Science and Technology Information (KISTI). Prof. Heejun Roh is the corresponding author. Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th IEEE International Conference on Network Protocols, ICNP 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ICNP49622.2020.9259387",
language = "English",
series = "Proceedings - International Conference on Network Protocols, ICNP",
publisher = "IEEE Computer Society",
booktitle = "28th IEEE International Conference on Network Protocols, ICNP 2020",
}