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
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 |
You need to prepare at least one labtop, one cellphone, and one Linux server.
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.
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.
Many configuration variables depend on your experimental environment. Please see config.py and modify the variables appropriately.
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
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}
}