Graphical Models for Cybersecurity. 3 credits

Catalog description

This course addresses the use of this knowledge representation paradigm in the general area of cybersecurity from the standpoint of engineers. The first part of the course introduces core principles of graph theory, while providing a basis for understanding the semantics of most graphical methods applied to Cybersecurity. Then, in the second part of the course, probabilistic graphical models are introduced as a key component for applying AI and machine learning techniques to cybersecurity. Topics covered include Bayesian networks and its derivatives, where both its representational features as well as its mathematical and logical quantification aspects are explored. Finally, the course shifts to a wider spectrum of graphical techniques, including but not limited to, attack graphs, evidence graphs, and others commonly used in cybersecurity. Offered by Cyber Security Engineering . May not be repeated for credit.