Abstract
Running autonomous cyber physical systems (CPSs) in a safe way entails several complex activities that include monitoring the system for ongoing attacks or faults. Root cause analysis is a technique used to identify the initial cause of a cascading sequence of faults affecting a complex system. In this paper we introduce FADa-CPS, an architecture for root cause analysis in CPSs whose goal is identifying and localizing faults caused either by natural events or by attacks. The architecture is designed to be flexible such to adapt to evolving monitored systems.
This paper has been partially supported by the ATENA H2020 EU Project (H2020-DS-2015-1 Project 700581).
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Notes
- 1.
The identifier of each scenario directly references the numbering used in [2].
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Bo, P., Granato, A., Mancuso, M.E., Ciccotelli, C., Querzoni, L. (2019). FADa-CPS—Faults and Attacks Discrimination in Cyber Physical Systems. In: Calo, S., Bertino, E., Verma, D. (eds) Policy-Based Autonomic Data Governance. Lecture Notes in Computer Science(), vol 11550. Springer, Cham. https://doi.org/10.1007/978-3-030-17277-0_6
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DOI: https://doi.org/10.1007/978-3-030-17277-0_6
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