Risk Forecast Using Hidden Markov Models

Author(s)

James D. Cannady Jr., Nova Southeastern UniversityFollow
Charles Pak, Nova Southeastern UniversityFollow

Document Type

Article

Publication Title

Research in Information Technology

ISSN

1944-0278

Publication Date

7-2010

Abstract

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.

DOI

10.1145/1841325.1841326

Volume

7

Issue

2

First Page

4

Last Page

15

NSUWorks Citation

Cannady, James D. Jr. and Pak, Charles, "Risk Forecast Using Hidden Markov Models" (2010). CCE Faculty Articles. 450.
https://nsuworks.nova.edu/gscis_facarticles/450