Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces. (arXiv:1902.06626v5 [cs.CR] CROSS LISTED)

Website Fingerprinting (WF) is a type of traffic analysis attack that enables
a local passive eavesdropper to infer the victim's activity, even when the
traffic is protected by a VPN or an anonymity system like Tor. Leveraging a
deep-learning classifier, a WF attacker can gain over 98% accuracy on Tor
traffic. In this paper, we explore a novel defense, Mockingbird, based on the
idea of adversarial examples that have been shown to undermine machine-learning
classifiers in other domains. Since the …

arxiv attacks traces website