Prabhjot Singh (University of Waterloo), Diogo Barradas (University of Waterloo), Tariq Elahi (University of Edinburgh), Noura Limam (University of Waterloo)

Despite the implementation of encrypted channels, such as those offered by anonymity networks like Tor, network adversaries have demonstrated the ability to compromise users’ browsing privacy through website fingerprinting attacks. This paper studies the susceptibility of Tor users to website fingerprinting when data is exchanged over low Earth orbit (LEO) satellite Internet links. Specifically, we design an experimental testbed that incorporates a Starlink satellite Internet connection, allowing us to collect a dataset for evaluating the success of website fingerprinting attacks in satellite environments compared to conventional fiber connections. Our findings suggest that Tor traffic transmitted via Starlink is as vulnerable to fingerprinting attacks as traffic over fiber links, despite the distinct networking characteristics of Starlink connections in contrast to fiber.

View More Papers

AAKA: An Anti-Tracking Cellular Authentication Scheme Leveraging Anonymous Credentials

Hexuan Yu (Virginia Polytechnic Institute and State University), Changlai Du (Virginia Polytechnic Institute and State University), Yang Xiao (University of Kentucky), Angelos Keromytis (Georgia Institute of Technology), Chonggang Wang (InterDigital), Robert Gazda (InterDigital), Y. Thomas Hou (Virginia Polytechnic Institute and State University), Wenjing Lou (Virginia Polytechnic Institute and State University)

Read More

Pencil: Private and Extensible Collaborative Learning without the Non-Colluding...

Xuanqi Liu (Tsinghua University), Zhuotao Liu (Tsinghua University), Qi Li (Tsinghua University), Ke Xu (Tsinghua University), Mingwei Xu (Tsinghua University)

Read More

“I used to live in Florida”: Exploring the Impact...

Imani N. S. Munyaka (University of California, San Diego), Daniel A Delgado, Juan Gilbert, Jaime Ruiz, Patrick Traynor (University of Florida)

Read More

Attributions for ML-based ICS Anomaly Detection: From Theory to...

Clement Fung (Carnegie Mellon University), Eric Zeng (Carnegie Mellon University), Lujo Bauer (Carnegie Mellon University)

Read More