Date of Award


Document Type


Degree Name

Master of Science in Computer Science


Department of Electrical and Computer Engineering

First Advisor

Barry E. Mullins, PhD.


It is important for industrial control system operators to receive quality training to defend against cyber attacks. Hands-on training exercises with real-world control systems allow operators to learn various defensive techniques and see the real-world impact of changes made to a control system. Cyber attacks and operator actions can have unforeseen effects that take a significant amount of time to manifest and potentially cause physical harm to the system, making high-fidelity training exercises time-consuming and costly. This thesis presents a method for accelerating training exercises by simulating and predicting the effects of a cyber event on a partially-simulated control system. A hardware-in-the-loop system comprised of a software-modeled water tank and a commercially-available programmable logic controller is used to demonstrate the feasibility of this method. The results demonstrate the system's speedup capability which allows users to accurately simulate the effects of a cyber event at speeds faster than real-time.

AFIT Designator


DTIC Accession Number