Ricerc@Sapienza

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.

We demonstrate the feasibility of long lasting underwater networking by proposing the smart exploitation of the energy harvesting capabilities of underwater sensor nodes. We define a data routing framework that allows senders to select the best forwarding relay taking into account both residual energy and foreseeable harvestable energy. Our forwarding method, named HyDRO, for Harvesting-aware Data ROuting, is also configured to consider channel conditions and route-wide residual energy, performing network wide optimization via local information sharing.