Publication Date
8-2021
Date of Final Oral Examination (Defense)
3-11-2021
Type of Culminating Activity
Thesis
Degree Title
Master of Science in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Supervisory Committee Chair
Sing Ming Loo, Ph.D.
Supervisory Committee Member
Charmaine C. Sample, D.Sc.
Supervisory Committee Member
Liljana Babinkostova, Ph.D.
Abstract
This thesis identifies and fortifies against a critical vulnerability in industrial control system (ICS) security. A properly designed ICS security framework consists of a multi-layered approach starting with heavy fortifications in information technology and ending with control information of operational technology. Currently, ICS security frameworks lack visibility and place blind trust in devices at the lowest level of the control hierarchy. Attaining control data visibility at the lowest level of the control hierarchy is critical to increasing the resiliency of an ICS security posture. This thesis demonstrates how this data can be captured at the lowest level of the control hierarchy, and then synthesized with existing network and system data to form a more complete picture of operational technology’s behavior.
DOI
https://doi.org/10.18122/td.1878.boisestate
Recommended Citation
Bovard, Daniel A., "Industrial Control System Data Resiliency" (2021). Boise State University Theses and Dissertations. 1878.
https://doi.org/10.18122/td.1878.boisestate