POSTER: Traffic Splitting to Counter Website Fingerprinting
| Autor: | Thomas Engel, Asya Mitseva, Fabian Lanze, Andriy Panchenko, Jens Hiller, Jan Pennekamp, Klaus Wehrle, Wladimir De la Cadena |
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| Předmět: |
050101 languages & linguistics
Traffic analysis Web privacy business.industry Computer science 05 social sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences 02 engineering and technology Limit (mathematics) business Computer network |
| Zdroj: | BASE-Bielefeld Academic Search Engine CCS |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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