Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …

Anonymity networks are becoming increasingly popular in today's online world as more
users attempt to safeguard their online privacy. Tor is currently the most popular anonymity …

Website fingerprinting enables a local eavesdropper to determine which websites a user is
visiting over an encrypted connection. State-of-the-art website fingerprinting attacks have …

Several studies have shown that the network traffic that is generated by a visit to a website
over Tor reveals information specific to the website through the timing and sizes of network …

Anonymity networks, eg, Tor, are vulnerable to various website fingerprinting (WF) attacks,
which allows attackers to perceive user privacy on these networks. However, the defenses …

Website fingerprinting enables an attacker to infer which web page a client is browsing
through encrypted or anonymized network connections. We present a new website …

Website Fingerprinting (WF) attacks pose a serious threat to users' online privacy, including
for users of the Tor anonymity system. By exploiting recent advances in deep learning, WF …

Deep neural networks (DNNs) are commonly used for various traffic analysis problems, such
as website fingerprinting and flow correlation, as they outperform traditional (eg, statistical) …

The proliferation of smart home Internet of Things (IoT) devices presents unprecedented
challenges for preserving privacy within the home. In this paper, we demonstrate that a …

Website fingerprinting (WFP) aims to infer information about the content of encrypted and
anonymized connections by observing patterns of data flows based on the size and direction …