RiFT: Cyber Adversary Likelihood
Primary Investigator:
Research Independant
Phoebe Abbruzzese, Madhu Joshi, Gabe Samide, Courtney Falk, Rick Kennell
Abstract
The Cyber Adversary Likelihood project has the goal of identifying methods for modeling adversaries in attacks on critical infrastructure and using those models to help determine the likelihood of various adversary actions. Specifically, the project will examine adversary actors in the context of cyber systems (including information systems and control networks) and propose modeling approaches to approximate their behaviors. The project will develop a method to estimate likelihoods of various adversary actions in relevant contexts and then characterize and demonstrate that method. The ultimate use case of the model(s) and tool(s) is to estimate likelihood parameters in a broader model that will be used to assess risk to critical infrastructure from malicious and non-malicious hazards.