Enhancing Automata Learning with Statistical Machine Learning: A Network Security Case Study

Check out our video as Julien from eChannelNEWS interviewed Pat Saavedra, Founder of RabbitRun Technologies, and the University of Ottawa Sedna Lab Research Team, to discussed the benefits of their Cyber Security research and collaboration between industry and academia.

Intrusion detection systems are crucial for network security. Verification of these systems is complicated by various factors, including the heterogeneity of network platforms and the continuously changing landscape of cyber threats. In this paper, we use automata learning to derive state machines from network-traffic data with the objective of supporting behavioral verification of intrusion detection systems…

Watch the interview:

Download the research paper:

About Sedna Lab:

The Sedna Research Lab is part of the School of Electrical Engineering and Computer Science (EECS) at the Faculty of Engineering of the University of Ottawa. The lab specializes in research on the Internet of Things (IoT) with a particular emphasis on systems and software engineering. Visit Sedna Lab


Let’s Work Together

– Partner with Us!