The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Code for the paper "Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning" (PETS 2019)

A machine learning data analysis pipeline for analyzing website fingerprinting attacks and defenses.

Automatic Feature Generation for Website Fingerprinting

Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces" which is published in IEEE Transactions on Information Forensics and Security (TIFS).

Reimplementation of the WeFDE information leakage analysis technique for website fingerprinting analysis in Python3.

This repository contains code and data for "Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks" paper, published in PETS 2020.

The code and dataset for "Subverting Website Fingerprinting Defenses with Robust Traffic Representation".

Automated Website Fingerprinting using Deep Learning (Project for CSE 534 - Fundamentals of Computer Networks)

Undergraduate Internship at Ewha Womans University

The multi-tab website fingerprinting attack library contains real-world multi-tab Tor traffic and code for multi-tab website fingerprinting attacks.

Contains python tools for performing website fingerprinting classification as well as fetching web-pages.

A website fingerprinting defense

Website Fingerprinting from a Protocol-Centric Perspective

Beta Randomized Obfuscation: a website fingerprinting defense

LockedDown: Exploiting Contention on Host-GPU PCIe Bus for Fun and Profit

Evaluation of SVM and KNN in Website Fingerprinting Attack

Repository for Master's Thesis at KAU Spring 2021

Source code release for the 2020 FOCI paper: "Padding Ain’t Enough: Assessing the Privacy Guarantees of Encrypted DNS"