Big privacy: Challenges and opportunities of privacy study in the age of big data

S Yu - IEEE access, 2016 - ieeexplore.ieee.org
One of the biggest concerns of big data is privacy. However, the study on big data privacy is
still at a very early stage. We believe the forthcoming solutions and theories of big data …

A review on machine learning–based approaches for Internet traffic classification

O Salman, IH Elhajj, A Kayssi, A Chehab - Annals of Telecommunications, 2020 - Springer
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Deep fingerprinting: Undermining website fingerprinting defenses with deep learning

P Sirinam, M Imani, M Juarez, M Wright - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
Website fingerprinting enables a local eavesdropper to determine which websites a user is
visiting over an encrypted connection. State-of-the-art website fingerprinting attacks have …

Peek-a-boo: I see your smart home activities, even encrypted!

A Acar, H Fereidooni, T Abera, AK Sikder… - Proceedings of the 13th …, 2020 - dl.acm.org
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment
allow users to easily control the physical world around them and facilitate their living styles …

Subverting website fingerprinting defenses with robust traffic representation

M Shen, K Ji, Z Gao, Q Li, L Zhu, K Xu - 32nd USENIX Security …, 2023 - usenix.org
Anonymity networks, eg, Tor, are vulnerable to various website fingerprinting (WF) attacks,
which allows attackers to perceive user privacy on these networks. However, the defenses …

Automated website fingerprinting through deep learning

V Rimmer, D Preuveneers, M Juarez… - arXiv preprint arXiv …, 2017 - arxiv.org
Several studies have shown that the network traffic that is generated by a visit to a website
over Tor reveals information specific to the website through the timing and sizes of network …

[PDF][PDF] Website Fingerprinting at Internet Scale.

A Panchenko, F Lanze, J Pennekamp, T Engel… - NDSS, 2016 - nymity.ch
The website fingerprinting attack aims to identify the content (ie, a webpage accessed by a
client) of encrypted and anonymized connections by observing patterns of data flows such …

{DupLESS}:{Server-Aided} encryption for deduplicated storage

S Keelveedhi, M Bellare, T Ristenpart - 22nd USENIX security …, 2013 - usenix.org
Cloud storage service providers such as Dropbox, Mozy, and others perform deduplication
to save space by only storing one copy of each file uploaded. Should clients conventionally …

Effective attacks and provable defenses for website fingerprinting

T Wang, X Cai, R Nithyanand, R Johnson… - 23rd USENIX Security …, 2014 - usenix.org
Website fingerprinting attacks allow a local, passive eavesdropper to identify a user's web
activity by leveraging packet sequence information. These attacks break the privacy …

{Walkie-Talkie}: An efficient defense against passive website fingerprinting attacks

T Wang, I Goldberg - … USENIX Security Symposium (USENIX Security 17 …, 2017 - usenix.org
Website fingerprinting (WF) is a traffic analysis attack that allows an eavesdropper to
determine the web activity of a client, even if the client is using privacy technologies such as …