Planning-Based Visualization of Static Network Attack Analysis
About Heavy Iron
The Heavy Iron project has two primary goals related to the representation and visualization of static attack analyses
An increased generative capability that extends current work on attack graphs to model attack context at a high level of granularity and provides interactive modification of network configuration to explore what-if reasoning
An increased visualization capability that exploits the expressive representation to render 3D visualizations of individual attacks across a range of user-defined topological and physical configurations
- R. Michael Young (PI, Computer Science)
- Charles Bevan (Researh Assistant, Computer Science)
This project is sponsored by the US Army Research Office via a Multidisciplinary University Research Initiative (MURI) Award. Heavy Iron is part of a large effort to expand our understanding of Cyber-Situation Awareness and is part of an award led by Penn State University that includes researchers at NC State University, George Mason University, Carnegie Mellon University and Arizona State University.