Anonymity Enhancement Against Website Fingerprinting Attacks, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
Website Fingerprinting is a trac analysis attack that allows an eavesdropper to determine the web activity of a client, even if the client is using privacy technologies such as Tor. Recent researches have shown that an attacker is able to detect which websites a user is visiting over than 98% accuracy, While previous countermeasures fail against this kind of attacks. In this research, we introduce two defenses. In the rst defense, we exploit deep neural network vulnerabilities by using Adversarial Example.In this method, we add small perturbation to trac which misleads classier to detect websites that the user has visited. In the second defense, we introduce a defense mechanism based on...
Cataloging briefAnonymity Enhancement Against Website Fingerprinting Attacks, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
Website Fingerprinting is a trac analysis attack that allows an eavesdropper to determine the web activity of a client, even if the client is using privacy technologies such as Tor. Recent researches have shown that an attacker is able to detect which websites a user is visiting over than 98% accuracy, While previous countermeasures fail against this kind of attacks. In this research, we introduce two defenses. In the rst defense, we exploit deep neural network vulnerabilities by using Adversarial Example.In this method, we add small perturbation to trac which misleads classier to detect websites that the user has visited. In the second defense, we introduce a defense mechanism based on...
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