TY - GEN
T1 - Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches
AU - Graf, David
AU - Schwinger, Wieland
AU - Retschitzegger, Werner
AU - Kapsammer, Elisabeth
AU - Baumgartner, Norbert
AU - Pröll, Birgit
AU - Schönböck, Johannes
N1 - Publisher Copyright:
© 2024 IEEE Computer Society. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Data-Driven Generation and Evolution
KW - Digital Shadow
KW - Operational Technology Monitoring
KW - Road Traffic Management
UR - http://www.scopus.com/inward/record.url?scp=85199767167&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 7459
EP - 7468
BT - Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
A2 - Bui, Tung X.
ER -