This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-27 Creation time: 02-42-07 --- Number of references 2 inproceedings 2019_delacadena_countermeasure 2019 11 12 2533-2535 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. https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-delacadena-splitting-defense.pdf ACM Proceedings of the 26th ACM SIGSAC Conference on Computer and Communications Security (CCS '19), November 11-15, 2019, London, United Kingdom London, United Kingdom November 11-15, 2019 978-1-4503-6747-9/19/11 10.1145/3319535.3363249 1 WladimirDe la Cadena AsyaMitseva JanPennekamp JensHiller FabianLanze ThomasEngel KlausWehrle AndriyPanchenko inproceedings 2019-glebke-wirelessgain 2019 3 25 reflexes,spp https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-glebke-wirelessgain.pdf ACM In Proceedings of the International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2019) Dresden, Germany International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2019) 25.03.2019 10.1145/3301418.3313943 1 SebastianGallenmüller RenéGlebke StephanGünther EricHauser MauriceLeclaire StefanReif JanRüth AndreasSchmidt GeorgCarle ThorstenHerfet WolfgangSchröder-Preikschat KlausWehrle