Wenhui Li
Packet-Level eBPF Traffic Obfuscation for QUIC to Mitigate Website Fingerprinting.
Rel. Alessio Sacco, Federico Rinaudi, Guido Marchetto. Politecnico di Torino, Corso di laurea magistrale in Cybersecurity, 2026
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (7MB) | Preview |
Abstract
Website Fingerprinting (WF) shows that encrypting content is not enough to protect browsing privacy. A passive observer can still infer visited sites by analyzing traffic patterns such as packet sizes, packet timing, direction, and burst structure. Recent deep learning methods make this inference easier and more robust, as they can learn directly from sequences of sizes and inter arrival times even under noisy network conditions. With the widespread use of QUIC and HTTP/3, these patterns remain observable at the network level and therefore continue to be a relevant side channel. This thesis presents a client-only countermeasure for QUIC and HTTP/3 traffic implemented with eBPF.
The system operates at packet level and requires no changes to applications or to the QUIC stack
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
