Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches Graf, David Schwinger, Wieland Retschitzegger, Werner Kapsammer, Elisabeth Baumgartner, Norbert Pröll, Birgit Schönböck, Johannes 2023-12-26T18:54:09Z 2023-12-26T18:54:09Z 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 6e3300b7-0f32-464e-8415-cdb10c198330
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Digital Twins: Platforms, Methods, Applications, and Impact
dc.subject data-driven generation
dc.subject digital shadow
dc.subject evolution
dc.subject operational technology monitoring
dc.subject road traffic management
dc.title Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches
dc.type Conference Paper
dc.type.dcmi Text
dcterms.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 generic approaches as well as domain-specific ones, ranging from IT networks to Social Networks. Thirdly, based thereupon, we present lessons learned and open issues for further research.
dcterms.extent 10 pages
prism.startingpage 7459
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