This repository contains the tools used in our paper, Watching the Watchers: Practical Video Identification Attack in LTE Networks, accepted at USENIX Security 2022.

For more details, please check our paper

Dataset

Table 1: Dataset summary

Dataset	# of Videos	# of Traces	Description
YouTube100	100	29,715	YouTube Top 100 in [1]
Netflix	22	1,001	Netflix Top 50
Amazon	32	1,210	Prime Video 32
YouTubeCA	100	7,383	YouTube Top 100 in [1] (w/ CA)
YouTube200	200	6,424	YouTube Top 101-300 in [1]
Web	-	268	Visiting randomly selected 45 websites from Alexa Top 50 Website [2]
Teleconf	-	201	Google Meet

[1]: Most viewed music videos of all time. https://kworb.net/youtube/topvideos.html.

[2]: Katharina Kohls, David Rupprecht, Thorsten Holz, and Christina P̈opper. Lost Traffic Encryption: Fingerprinting LTE/4G Traffic on Layer Two. ACM WiSec19

Table 2: # of Traces used in the evaluation (YouTube100 videos)

MNO	Video Quality	# of Traces		MNO	Video Quality	# of Traces		MNO	Video Quality	# of Traces
A	480p	3,184		B	480p	3,376		C	480p	3,262
A	720p	3,196		B	720p	3,318		C	720p	3,218
A	1080p	3,645		B	1080p	3,223		C	1080p	3,293

How to use

Environment Setup

You need to prepare at least one labtop, one cellphone, and one Linux server.

Labtop Setup

Set up Innowireless DM tool on a labtop and connect a cellphone used to collect data. Most of the Python scripts will be run on this labtop.

Linux Server Setup

Set up airscope on a Linux server. We use airscope to capture radio signals in the same way as an adversary.

Additionally, please copy send_mail.py to the Linux Server and install smtpd on the server. This script will be run to notify you when experiments are completed via email.

Configuration

Many configuration variables depend on your experimental environment. Please see config.py and modify the variables appropriately.

Authors

This project has been conducted by the below authors at KAIST.

• Sangwook Bae
• Mincheol Son
• Dongkwan Kim
• CheolJun Park
• Jiho Lee
• Sooel Son
• Yongdae Kim

Citation

We would appreciate if you consider citing our paper when using the tools.

@inproceedings{bae:2022:watching,
  author = {Sangwook Bae, Mincheol Son, Dongkwan Kim, CheolJun Park, Jiho Lee, Sooel Son, and Yongdae Kim},
  title = {Watching the Watchers: Practical Video Identification Attack in LTE Networks},
  booktitle = {Proceedings of the 31st USENIX Security Symposium (Security)},
  mon = aug,
  year = 2022,
  address = {Boston, MA}
}