Website Fingerprinting Attacks
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Papers
Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks
Website Fingerprinting (WF) attacks exploit patterns in encrypted traffic to infer the websites visited by users, posing a serious threat to anonymous communication systems. Although recent WF techniques achieve over 90%…
Website Fingerprinting AttacksRobust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis
Website Fingerprinting (WF) attacks identify the websites visited by users by performing traffic analysis, compromising user privacy. Particularly, DL-based WF attacks demonstrate impressive attack performance. However, …
Contrastive LearningData AugmentationWebsite Fingerprinting AttacksEfficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic
Website fingerprinting attack is an extensively studied technique used in a web browser to analyze traffic patterns and thus infer confidential information about users. Several website fingerprinting attacks based on mac…
Website Fingerprinting AttacksRobust Website Fingerprinting Through the Cache Occupancy Channel
Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anonymity-preserving networks such as Tor. Th…
Website Fingerprinting Attacksp-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning
Recent advances in learning Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art classifiers across a wide range of applications, with little…
Feature EngineeringGeneral ClassificationWebsite Fingerprinting Attacks