A Systematic Approach to Developing and Evaluating Website Fingerprinting Defenses

By Xiang Cai, Rishab Nithyanand, Tao Wang, Rob Johnson, Ian Goldberg. Conference on Computer and Communications Security, 2014

328 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Circuit Fingerprinting Attacks: Passive Deanonymization of Tor Hidden Services (2015, background): “Several subsequent papers have worked on WF in open-world settings, improved on the classification accuracy, and proposed defenses [10, 36, 35, 9].”
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning (2018, background): “Tamaraw [6] and CS-BuFLO [7] tried to solve this problem by grouping sites that are similar in size and padding all the sites in a group to the greatest size in that group.”
Automated Website Fingerprinting through Deep Learning (2017, background): “Moreover, this tasks can be costly for the adversary as he has to keep up with changes introduced in the network protocol [4], [20], [9].”
Website Fingerprinting at Internet Scale (2016, methodology): “also proposed Tamaraw [4], a heavily-modified version of BuFLO, which improves performance primarily by treating incoming and outgoing packets differently.”