Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/lsvih/cumul
Implementation of "Website Fingerprinting at Internet Scale"
https://github.com/lsvih/cumul
Last synced: 24 days ago
JSON representation
Implementation of "Website Fingerprinting at Internet Scale"
- Host: GitHub
- URL: https://github.com/lsvih/cumul
- Owner: lsvih
- Created: 2018-07-04T02:11:01.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-02-24T02:04:41.000Z (almost 2 years ago)
- Last Synced: 2023-10-20T21:19:49.872Z (about 1 year ago)
- Language: Python
- Size: 4.88 KB
- Stars: 20
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# CUMUL
Implementation of "Website Fingerprinting at Internet Scale"
Reproduce from original code of paper's author: [`http://lorre.uni.lu/~andriy/zwiebelfreunde/`](http://lorre.uni.lu/~andriy/zwiebelfreunde/)
------
*Update at Feb. 2023*
Since the original dataset link is no longer available, please download the dataset from the [Web Archive](https://web.archive.org/web/20180716181420/http://lorre.uni.lu/~andriy/zwiebelfreunde/)
------
If you find this method helpful for your research, please cite this paper:
```
@inproceedings{panchenko2016website,
title={Website Fingerprinting at Internet Scale.},
author={Panchenko, Andriy and Lanze, Fabian and Pennekamp, Jan and Engel, Thomas and Zinnen, Andreas and Henze, Martin and Wehrle, Klaus},
booktitle={NDSS},
year={2016}
}
```### Dependency
```
Python 3.5 +
sklearn
```### Dataset
Download `foreground.tar.gz` and `background.tar.gz` from [`http://lorre.uni.lu/~andriy/zwiebelfreunde/`](http://lorre.uni.lu/~andriy/zwiebelfreunde/) and extract files.
Then config your dataset path at `main.py`