Date of Award
3-23-2017
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Barry E. Mullins, PhD.
Abstract
First responders and professionals in hazardous occupations undergo training and evaluations for the purpose of mitigating risk and damage. For example, helicopter pilots train with multiple categorized simulations that increase in complexity before flying a real aircraft. However in the industrial control cyber incident response domain, where incident response professionals help detect, respond and recover from cyber incidents, no official categorization of training environments exist. To address this gap, this thesis provides a categorization of industrial control training environments based on realism. Four levels of environments are proposed and mapped to Blooms Taxonomy. This categorization will help organizations determine which training environment best aligns with their training needs and budgets.
AFIT Designator
AFIT-ENG-MS-17-M-059
DTIC Accession Number
AD1054735
Recommended Citation
Plumley, Evan G., "A Framework for Categorization of Industrial Control System Cyber Training Environments" (2017). Theses and Dissertations. 1595.
https://scholar.afit.edu/etd/1595
Included in
Controls and Control Theory Commons, Digital Communications and Networking Commons, Information Security Commons