Over the last 25 years, there has been much work on multimedia digital watermarking. In this
domain, the primary limitation to watermark strength has been in its visibility. For multimedia …

A timing channel is a communication channel that can transfer information to a
receiver/decoder by modulating the timing behavior of an entity. Examples of this entity …

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) …

Flow correlation is the core technique used in a multitude of deanonymization attacks on
Tor. Despite the importance of flow correlation attacks on Tor, existing flow correlation …

Describes Information Hiding in communication networks, and highlights their important
issues, challenges, trends, and applications. Highlights development trends and potential …

End-to-end flow correlation attacks are among the oldest known attacks on low-latency
anonymity networks, and are treated as a core primitive for traffic analysis of Tor. However …

The detection of covert timing channels is of increasing interest in light of recent exploits of
covert timing channels over the Internet. However, due to the high variation in legitimate …

Virtualization is the cornerstone of the developing third party compute industry, allowing
cloud providers to instantiate multiple virtual machines (VMs) on a single set of physical …

Modern low-latency anonymity systems, no matter whether constructed as an overlay or
implemented at the network layer, offer limited security guarantees against traffic analysis …

Traffic analysis is the practice of inferring sensitive information from communication patterns,
particularly packet timings and packet sizes. Traffic analysis is increasingly becoming …