Defending against Deep-Learning-Based Flow Correlation Attacks with Adversarial Examples

Tor is vulnerable to flow correlation attacks, adversaries who can observe the traffic metadata (e.g., packet timing, size, etc.) between client to entry relay and exit relay to the server will deanonymize users by calculating the degree of association. A recent study has shown that deep-learning-ba...

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Veröffentlicht in:	Security and communication networks 2022-03, Vol.2022, p.1-11
Hauptverfasser:	Zhang, Ziwei, Ye, Dengpan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Bandwidths Classification Communications traffic Correlation Deep learning Flow distribution Noise Packet transmission Relay Success Traffic flow Web sites Websites
Online-Zugang:	Volltext
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