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Component Damage Source Identification for Critical Infrastructure Systems

Authors :
Davis, Nathan
Publication Year :
2021

Abstract

Cyber-Physical Systems (CPS) are becoming increasingly prevalent for both Critical Infrastructure and the Industry 4.0 initiative. Bad values within components of the software portion of CPS, or the computer systems, have the potential to cause major damage if left unchecked, and so detection and locating of where these occur is vital. We further define features of these computer systems and create a use-based system topology. We then introduce a function to monitor system integrity and the presence of bad values as well as an algorithm to locate them. We then show an improved version, taking advantage of several system properties to increase efficiency. We additionally delve into the use of digital twins for simulating potential bad values faster-than-real-time. Finally, we show evidence of our non-digital twin model’s effectiveness through simulation.

Details

Language :
English
Database :
OpenDissertations
Publication Type :
Dissertation/ Thesis
Accession number :
ddu.oai.scholarworks.uark.edu.etd.5815