Automated website fingerprinting through deep learning

V Rimmer, D Preuveneers, M Juarez… - arxiv preprint arxiv …, 2017 - arxiv.org
Several studies have shown that the network traffic that is generated by a visit to a website
over Tor reveals information specific to the website through the timing and sizes of network …

Defeating {DNN-Based} traffic analysis systems in {Real-Time} with blind adversarial perturbations

M Nasr, A Bahramali, A Houmansadr - 30th USENIX Security …, 2021 - usenix.org
Deep neural networks (DNNs) are commonly used for various traffic analysis problems, such
as website fingerprinting and flow correlation, as they outperform traditional (eg, statistical) …

Trafficsliver: Fighting website fingerprinting attacks with traffic splitting

W De la Cadena, A Mitseva, J Hiller… - Proceedings of the …, 2020 - dl.acm.org
Website fingerprinting (WFP) aims to infer information about the content of encrypted and
anonymized connections by observing patterns of data flows based on the size and direction …

Online website fingerprinting: Evaluating website fingerprinting attacks on tor in the real world

G Cherubin, R Jansen, C Troncoso - 31st USENIX Security Symposium …, 2022 - usenix.org
Website fingerprinting (WF) attacks on Tor allow an adversary who can observe the traffic
patterns between a victim and the Tor network to predict the website visited by the victim …

A Systematic Survey On Security in Anonymity Networks: Vulnerabilities, Attacks, Defenses, and Formalization

D Chao, D Xu, F Gao, C Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The importance of safeguarding individuals' privacy rights in online activities is unmistakable
in today's anonymity networks. Since the introduction of Mixnet by Chaum, numerous …

Website fingerprinting through the cache occupancy channel and its real world practicality

A Shusterman, Z Avraham, E Croitoru… - … on Dependable and …, 2020 - ieeexplore.ieee.org
Website fingerprinting attacks use statistical analysis on network traffic to compromise user
privacy. The classical attack model used to evaluate website fingerprinting attacks assumes …

Mockingbird: Defending against deep-learning-based website fingerprinting attacks with adversarial traces

MS Rahman, M Imani, N Mathews… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Website Fingerprinting (WF) is a type of traffic analysis attack that enables a local passive
eavesdropper to infer the victim's activity, even when the traffic is protected by a VPN or an …

Measuring information leakage in website fingerprinting attacks and defenses

S Li, H Guo, N Hopper - Proceedings of the 2018 ACM SIGSAC …, 2018 - dl.acm.org
Tor provides low-latency anonymous and uncensored network access against a local or
network adversary. Due to the design choice to minimize traffic overhead (and increase the …

[PDF][PDF] Inside Job: Applying Traffic Analysis to Measure Tor from Within.

R Jansen, M Juarez, R Galvez, T Elahi, C Diaz - NDSS, 2018 - homes.esat.kuleuven.be
In this paper, we explore traffic analysis attacks on Tor that are conducted solely with middle
relays rather than with relays from the entry or exit positions. We create a methodology to …

A comprehensive analysis of website fingerprinting defenses on Tor

X **ao, X Zhou, Z Yang, L Yu, B Zhang, Q Liu… - Computers & Security, 2024 - Elsevier
Website fingerprinting (WF) enables eavesdroppers to identify the website a user is visiting
by network surveillance, even if the traffic is protected by anonymous communication …