AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Computer network protocols define the rules in which two entities communicate over a
network of unique hosts. Many protocol specifications are unknown, unavailable, or …

In software-defined networking, the controller installs flow-based rules at switches either
proactively or reactively. The reactive approach allows controller applications to make …

Smartphone apps have changed the way we interact with online services, but highly
specialized apps come at a cost to privacy. In this paper we will demonstrate that a passive …

Extracting the protocol message format specifications of unknown applications from network
traces is important for a variety of applications such as application protocol parsing …

When employing supervised machine learning to analyze network traffic, the heart of the
task often lies in developing effective features for the ML to leverage. We develop GGFAST …

Network security products, such as NIDS or application firewalls, tend to focus on application
level communication flows. However, adding support for new proprietary and often …

We apply model learning on three SSH implementations to infer state machine models, and
then use model checking to verify that these models satisfy basic security properties and …

Network protocol reverse engineering is an important challenge with many security
applications. A popular kind of method leverages network message traces. These methods …

Communication protocols enable structured information exchanges between different
entities. A description, at different levels of detail, is necessary for many applications, such …