Fingerprinting Websites Using Traffic Analysis

By Andrew Hintz. International Symposium on Privacy Enhancing Technologies, 2002

389 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/af5582fb02dceaaf4b0fef84ea6bd8fb7ca14acc

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Citations in the corpus

Effective Attacks and Provable Defenses for Website Fingerprinting (2014, neutral): “in 2002 [20], and Hintz in 2003 [11].”
Website fingerprinting in onion routing based anonymization networks (2011, background): “Website fingerprinting (WFP) [12] is an attack that can be performed by a local attacker.”
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning (2018, background): “Closed-vs Open-world Scenario: A closed-word assumes the user can only visit a small set of sites and that the adversary has samples to train on all of them [10, 16, 17, 35].”
Website Fingerprinting at Internet Scale (2016, background): “Similarly, Hintz [12] targeted identifying individual websites when the server is not known, e.”
Touching from a distance: website fingerprinting attacks and defenses (2012, background): “Several researchers have developed web page fingerprinting attacks on encrypted web traffic, as occurs when the victim uses HTTPS, link-level encryption, such as WPA, or an encrypting tunnel such as SSH, a VPN, or IPSec [2, 4, 9, 10, 11, 13, 14, 20, 27, 28, 6].”
Robust Smartphone App Identification via Encrypted Network Traffic Analysis (2017, background): “Much work has been done on analysing trafﬁc from work-stations and web browsers [9].”
DupLESS: Server-Aided Encryption for Deduplicated Storage (2013, background): “We will not explicitly target resistance to traffic analysis attacks that abuse leakage of access patterns [48] or file lengths [24] [31] [40] [47] [59] [65] [72], though our system will be compatible with potential countermeasures.”
Tor: The Second-Generation Onion Router (2004, neutral): “The indirection scheme is also designed to include authentication/authorization—if Alice doesn’t include the right cookie with her request for service, Bob need not even acknowledge his existence.”
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic (2016, background): “Trafﬁc analysis and ﬁngerprinting is by no means a new area of research, and indeed much work has been done on analysing trafﬁc from workstations and web browsers [5].”
Automated Website Fingerprinting through Deep Learning (2017, neutral): “The ﬁrst WF studies evaluated the effectiveness of the attack against HTTPS [9], encrypted web proxies [18], [28], OpenSSH [23] and VPNs [16] and it was not until 2009 that the ﬁrst evaluation of a WF attack was performed in Tor [16].”