activity
20162023
most citedp-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning

9 citations · 15 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CR2023★ 1 cited

Committee Moderation on Encrypted Messaging Platforms

Alistair Pattison, Nicholas Hopper

Encrypted messaging services like WhatsApp, Facebook Messenger, and Signal provide secure and deniable communication for billions across the world, but these exact properties preve…

cs.CR2023★ 1 cited

Poster: No safety in numbers: traffic analysis of sealed-sender groups in Signal

Eric Brigham, Nicholas Hopper

Secure messaging applications often offer privacy to users by protecting their messages from would be observers through end-to-end encryption techniques. However, the metadata of w…

cs.CR2023

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense

James K Holland, Jason Carpenter, Se Eun Oh +1

While anonymity networks like Tor aim to protect the privacy of their users, they are vulnerable to traffic analysis attacks such as Website Fingerprinting (WF) and Flow Correlatio…

cs.CR2022

Padding-only defenses add delay in Tor

Ethan Witwer, James Holland, Nicholas Hopper

Website fingerprinting is an attack that uses size and timing characteristics of encrypted downloads to identify targeted websites. Since this can defeat the privacy goals of anony…

cs.CR2020★ 1 cited

RegulaTor: A Straightforward Website Fingerprinting Defense

James K Holland, Nicholas Hopper

Website Fingerprinting (WF) attacks are used by local passive attackers to determine the destination of encrypted internet traffic by comparing the sequences of packets sent to and…

cs.CR2017★ 9 cited

p-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning

Se Eun Oh, Saikrishna Sunkam, Nicholas Hopper

Recent advances in learning Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art classifiers across a…