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Stefano Rinaldi

Researcher at University of Brescia

Publications -  204
Citations -  2885

Stefano Rinaldi is an academic researcher from University of Brescia. The author has contributed to research in topics: Smart grid & Synchronization. The author has an hindex of 27, co-authored 177 publications receiving 2216 citations. Previous affiliations of Stefano Rinaldi include Brescia University.

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Journal ArticleDOI

Model-Based Stealth Attack to Networked Control System Based on Real-Time Ethernet

TL;DR: A model-based attack is proposed for service degradation of NCS that can remain undetected for the entire plant life and can be applied to any RTE protocols and a detailed analysis of stealth techniques is provided for a specific real use case based on PROFINET.
Proceedings ArticleDOI

Exploiting Time Synchronization as Side Effect in UWB Real-Time Localization Devices

TL;DR: The architecture of the proposed system is aimed to exploit standard behavior of off-the-shelf UWB transceivers (such as Decawave modules) combined with straightforward software based on the modules APIs, which shows the possibility of obtaining, from all the nodes belonging to the same network, accurate time reference pulses.
Proceedings ArticleDOI

Experimental characterization of service latency over Broadband Power Line in Medium Voltage grid

TL;DR: The paper describes an experimental evaluation of service latency in a real MV-BPL design for the distribution grid management in Italy and states that 95% of the service requests are transferred on the network with a round-trip time lower than 120 ms even in the case of four hops.
Proceedings ArticleDOI

Integration of existing IEC61850-based SAS within new high-availability architectures

TL;DR: The implementation of mixed scenario SASs, with high-available synchronized Bays together with legacy Bays, is analyzed and a solution for smooth integration is proposed based on the use of an adaptation block that reconstructs the interface signals required by traditional Bay.
Proceedings ArticleDOI

On the Use of IoT Sensors for Indoor Conditions Assessment and Tuning of Occupancy Rates Models

TL;DR: A Cognitive Building approach is considered, considering an occupancy rate model able to take into consideration user’ habits and the indoor air quality (IAQ) provided in near real-time by IoT sensors, applied to the eLUX lab building of the campus of the University of Brescia, Italy.