At the 22nd Privacy Enhancing Technologies Symposium (PETS) which took place in Sydney, Australia and online, ProperData members presented three research papers covering Smart TV and browser fingerprinting techniques and the design and implementation of a blackout-resistant anonymity network.
UCI graduate student, Janus Varmarken’s presented, “FingerprinTV: Fingerprinting SmartTV Apps,” a fully automated methodology to extract network traffic fingerprints of the top-1000 smart TV apps from the three most popular smart TV platforms. This is collaborative work within PI Markopoulou’s group. [YouTube recording]
Northeastern graduate student, Amogh Pradeep (NEU & EPFL) presented “Moby: A Blackout-Resistant Anonymity Network for Mobile Devices” which explores the need for designing, implementing, and evaluating a blackout-resistant anonymity network for mobile devices. This is collaborative work within PI Choffnes’ group.
UC Davis graduate student, Pouneh Nikkhah Bahrami presented “FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting”. FP-Radar is a machine learning approach that leverages longitudinal measurements of web API usage on top-100K websites for early detection of new and evolving browser fingerprinting techniques. This is collaborative work within PI Shafiq’s group. [YouTube recording]
See all papers on our publications page.