Dataset for Website Fingerprinting Attack Evaluation

<p>Datasets for evaluating website fingerprinting attacks. More details can be found in <a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a></p> <div> <div><a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a> is a Pytorch-based open-source library for website fingerprinting attacks, intended for research purposes only.</div> <br> <div>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.</div> <br> <div>```bibtex</div> <div>@inproceedings{deng2024wflib,</div> <div>title={Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis},</div> <div>author={Deng, Xinhao and Li, Qi and Xu, Ke},</div> <div>booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},</div> <div>year={2024}</div> <div>}</div> <div>```</div> <br> <div>Contributions via pull requests are welcome and appreciated.</div> </div> <p>&nbsp;</p>