Timing Analysis in Low-Latency Mix Networks: Attacks and Defenses

By Vitaly Shmatikov, Ming-Hsiu Wang. European Symposium on Research in Computer Security, 2006

303 citations recorded by the source corpus.

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Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning (2018, background): “Adaptive padding [33] saves bandwidth by adding the padding only upon low usage of the channel, thus masking traffic bursts and their corresponding features.”
ShadowWalker: peer-to-peer anonymous communication using redundant structured topologies (2009, background): “In particular, an adversary who can observe the whole network can use end-to-end timing analysis [24,42,45,55] to link two ends of a circuit.”
k-fingerprinting: A Robust Scalable Website Fingerprinting Technique (2015, background): “We train on 20 out of the 30 instances for each monitored page and vary the number of unmonitored pages on which we train.”
Hang with your buddies to resist intersection attacks (2013, background): “which Buddies does not attempt to address [18, 21, 28].”
Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic (2017, background): “Shmatikov et al. developed an adaptive padding algo-rithm that forces inter-packet intervals of short-lived web communications through an anonymity network node to match a pre-speciﬁed probability distribution [35].”
Security and Privacy in the Internet of Things (2017, background): “Dummy traffic is considered as an effective countermeasure to obscure the timing features of the original flow [132].”