Website Fingerprinting Attacks

Website fingerprinting attacks refer to the situation where attackers identify specific websites visited by a user by analyzing the characteristics of network traffic, even if the traffic is encrypted. The primary goal of such attacks is to infringe on user privacy and reveal online behaviors and preferences. In the context of adversarial machine learning, researching website fingerprinting attacks helps evaluate and enhance the effectiveness of existing security protocols, providing theoretical foundations and technical support for developing more robust defense mechanisms.