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POSTER: Traffic Splitting to Counter Website Fingerprinting

  • Website fingerprinting (WFP) is a special type of traffic analysis, which aims to infer the websites visited by a user. Recent studies have shown that WFP targeting Tor users is notably more effective than previously expected. Concurrently, state-of-the-art defenses have been proven to be less effective. In response, we present a novel WFP defense that splits traffic over multiple entry nodes to limit the data a single malicious entry can use. Here, we explore several traffic-splitting strategies to distribute user traffic. We establish that our weighted random strategy dramatically reduces the accuracy from nearly 95% to less than 35% for four state-of-the-art WFP attacks without adding any artificial delays or dummy traffic.

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Metadaten
Author: Wladimir De La Cadena, Asya Mitseva, Jan Pennekamp, Jens Hiller, Fabian Lanze, Thomas Engel, Klaus Wehrle, Andriy Panchenko
URL:https://dl.acm.org/citation.cfm?doid=3319535.3363249
DOI:https://doi.org/10.1145/3319535.3363249
ISBN:978-1-4503-6747-9
Title of the source (English):CCS '19 Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security , London, UK, November 11 - 15, 2019.
Publisher:ACM Press
Place of publication:New York
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2019
First Page:2533
Last Page:2535
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG IT-Sicherheit
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