Risk Forecast Using Hidden Markov Models
Research in Information Technology
ISSN or ISBN
Today’s fast moving technologies create innovative ideas, products, and services, but they also bring with them new security risks. The gap between new technologies and the security needed to keep them from opening up new risks in information systems (ISs) can be difficult to close completely. Changes in ISs are inevitable because computing environments, intentionally or unintentionally, are always changing. These changes bring with them vulnerabilities on new or existing ISs, which cause security states to move between mitigated, vulnerable, and compromised states. In previous work, we introduced the near real-time risk assessment using hidden Markov models (HMMs). This paper applies that theory to a prototype MatLab™ environment.
Cannady, James D. Jr. and Pak, Charles, "Risk Forecast Using Hidden Markov Models" (2010). CEC Faculty Articles. 450.