Searched for: author%3A%22Tippenhauer%2C+Nils+Ole%22
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Murillo, Andrés (author), Taormina, R. (author), Tippenhauer, Nils Ole (author), Salaorni, Davide (author), van Dijk, Robert (author), Jonker, Luc (author), Vos, Simcha (author), Weyns, Maarten (author), Galelli, Stefano (author)
Numerical simulation models are a fundamental tool for planning and managing smart water networks—an evolution of water distribution systems in which physical assets are monitored and controlled by information and communication technologies. While simulation models allow us to understand the interactions between physical processes and abstract...
journal article 2023
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Murillo, Andrés (author), Taormina, R. (author), Tippenhauer, Nils Ole (author), Galelli, Stefano (author)
A fundamental problem in the realm of cyber-physical security of smart water networks is attack detection, a key step towards designing adequate countermeasures. This task is typically carried out by algorithms that analyze time series of process data. However, the nature of the data available to develop these algorithms limits their...
journal article 2023
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Erba, Alessandro (author), Taormina, R. (author), Galelli, Stefano (author), Pogliani, Marcello (author), Carminati, Michele (author), Zanero, Stefano (author), Tippenhauer, Nils Ole (author)
Recently, reconstruction-based anomaly detection was proposed as an effective technique to detect attacks in dynamic industrial control networks. Unlike classical network anomaly detectors that observe the network traffic, reconstruction-based detectors operate on the measured sensor data, leveraging physical process models learned a priori....
conference paper 2020