Poster: On Website Fingerprinting Defenses and User Tolerances

Website Fingerprinting (WF) attacks are attacks in which an adversary uses the metadata of encrypted and anonymized packets to build fingerprints for websites and determine user behavior, without attacking the underlying encryption. Typical defenses add padding/noise to the entirety of a data transmission, reducing attack accuracy at the cost of significant bandwidth overhead. We propose a new type of defense, where padding is only added to the most identifiable part of a transmission. We call for, and expect this research to be a part of, a larger discussion on WF defenses, which make more realistic assumptions about the average user.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/svcc65277.2025.11133639
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Poster: On Website Fingerprinting Defenses and User Tolerances

Mohammed Abuhamad, Madeline Moran, Eric Chan‐Tin, Joshua Honig
Hate Speech and Cyberbullying Detection
article

Poster: On Website Fingerprinting Defenses and User Tolerances

Mohammed Abuhamad, Madeline Moran, Eric Chan‐Tin, Joshua Honig
article en

Abstract

Website Fingerprinting (WF) attacks are attacks in which an adversary uses the metadata of encrypted and anonymized packets to build fingerprints for websites and determine user behavior, without attacking the underlying encryption. Typical defenses add padding/noise to the entirety of a data transmission, reducing attack accuracy at the cost of significant bandwidth overhead. We propose a new type of defense, where padding is only added to the most identifiable part of a transmission. We call for, and expect this research to be a part of, a larger discussion on WF defenses, which make more realistic assumptions about the average user.

Loyola University Chicago (US)
Openalex Percentile: Top 88%
Hate Speech and Cyberbullying Detection
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