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.
Author: | Wladimir De La Cadena, Asya Mitseva, Jan Pennekamp, Jens Hiller, Fabian Lanze, Thomas Engel, Klaus Wehrle, Andriy Panchenko |
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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 |