Published September 8, 2024
| Version v4
Dataset
Open
Dataset for Website Fingerprinting Attack Evaluation
Description
Datasets for evaluating website fingerprinting attacks. More details can be found in WFlib
WFlib is a Pytorch-based open-source library for website fingerprinting attacks, intended for research purposes only.
We provide a neat code base to evaluate 12 advanced DL-based WF attacks on multiple datasets. This library is derived from our ACM CCS 2024 paper. If you find this repo useful, please cite our paper.
```bibtex
@inproceedings{deng2024wflib,
title={Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis},
author={Deng, Xinhao and Li, Qi and Xu, Ke},
booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},
year={2024}
}
```
Contributions via pull requests are welcome and appreciated.
Files
closed_2tab.npz.zip
Files
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