Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches

David Graf, Wieland Schwinger, Werner Retschitzegger, Elisabeth Kapsammer, Norbert Baumgartner, Birgit Pröll, Johannes Schönböck

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Critical infrastructures in domains like road traffic management heavily depend on Operational Technology (OT) to ensure safe operation. One faces, however, also tremendous challenges in OT monitoring (OTM), i.e., ensuring the proper functioning of the OT objects themselves, due to their inherent large-scale, heterogeneous, and evolutionary nature. Going beyond the current practice of monitoring single OT object states, the digital twin paradigm could enable a more holistic OTM - research being, however, still in its infancy. Thus, the contribution of this paper is threefold: Firstly, we discuss key challenges from a domain perspective and derive appropriate criteria for a systematic evaluation of data-driven approaches aiming at a digital representation of an OT infrastructure. Secondly, based on these criteria, we identify and discuss promising approaches, ranging from IT networks to Social Networks. Thirdly, based thereupon, we present lessons learned and open issues for further research.

Original languageEnglish
Title of host publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
EditorsTung X. Bui
Pages7459-7468
Number of pages10
ISBN (Electronic)9780998133171
Publication statusPublished - 2024

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Keywords

  • Data-Driven Generation and Evolution
  • Digital Shadow
  • Operational Technology Monitoring
  • Road Traffic Management

Fingerprint

Dive into the research topics of 'Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches'. Together they form a unique fingerprint.

Cite this