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

Website Fingerprinting from a Protocol-Centric Perspective

A PyTorch version of Deep Fingerprinting

Requests the favicon for a given website and compares it against a known database of hashes to accurately identify the website's tech stack

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

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

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).

Codes used in DA project for data processing.

Undergraduate Internship at Ewha Womans University

Customed implementation of NetCLR: a WF attack based on SelfSL techniques integrated with NetAugment.

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

A website fingerprinting defense

Beta Randomized Obfuscation: a website fingerprinting defense

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

Tor cell capture for website fingerprinting experiments

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

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

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

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

Repository for Master's Thesis at KAU Spring 2021