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Date of Award

Spring 2018


Access restricted for 5 years to EWU users with an active EWU NetID

Date Available to Non-EWU Users

June 2023

Document Type

Thesis: EWU Only

Degree Name

Master of Science (MS) in Computer Science


Computer Science


Factor Analysis of Information Risk (FAIR) provides a framework for measuring and understanding factors that contribute to information risk. One such factor is FAIR Vulnerability; the probability that an event involving a threat will result in a loss. An asset is vulnerable if a threat actor’s Threat Capability is higher than the Resistance Strength of the asset. In FAIR scenarios, Resistance Strength is currently estimated for entire assets, oversimplifying assets containing individual systems and the surrounding environment. This research explores enhancing estimations of FAIR Vulnerability by modeling interactions between threat actors and assets through attack graphs. By breaking down the scenario into more representative and quantifiable parts, more detailed and precise analyses are possible.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.