Abstract
Situational awareness is often a matter of detailed local information and proportionally limited view on the bigger picture. Conversely, the big picture avoids complicating details, and as such displays the system components as atomic “black boxes”. This work proposes a combination of local and global views, accounting for a common practical division of physical and cyber domains, each of which have their own group of experts and management processes. We identify a small set of data items that is required about the physical and cyber parts of a system, along with a high-level description of how these parts interoperate. From these three ingredients, which we call physical, cyber and hybrid “awareness” (meaning just knowledge about what is there), we construct a simulation model to study cascading effects and indirect implications of distortions in a cyber-physical system. Our simulation model is composed from coupled Mealy automata, and we show an instance of it using a small cyber-physical infrastructure. This extends the awareness from “knowing what is” to “knowing what could happen next”, and as such addresses a core duty of effective risk management. Manifold extensions to this model are imaginable and discussed in the aftermath of the definition and example demonstration.
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Acknowledgment
This work was supported by the European Commission’s Project SAURON (Scalable multidimensional situation awareness solution for protecting European ports) under the HORIZON 2020 Framework (Grant No. 740477).
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König, S., Rass, S., Rainer, B., Schauer, S. (2019). Hybrid Dependencies Between Cyber and Physical Systems. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-22868-2_40
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