Date of Award
3-1997
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Yupo Chan, PhD
Abstract
This research optimized two measures of network security by hardening components and improving their reliability. A common measure of effectiveness (MOE) for networks is statistical reliability, which ignores the effects of hostile actions. A new MOE which includes hostile actions was developed. Both measures require component reliability functions, derived using fault trees. Fuzzy Logic and Monte Carlo simulation were used to quantify uncertainty. Results from the model are compared to traditional Risk Assessment results.
AFIT Designator
AFIT-GOR-ENS-97M-15
DTIC Accession Number
ADA326934
Recommended Citation
Lyle, David L., "Analyzing and Improving Stochastic Network Security: A Multicriteria Prescriptive Risk Analysis Model" (1997). Theses and Dissertations. 5978.
https://scholar.afit.edu/etd/5978