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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
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DTSTART:20251026T030000
TZOFFSETFROM:+0200
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DTSTART:20260329T020000
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UID:calendar.30037.field_data.0@oba.diag.uniroma1.it
DTSTAMP:20260407T185645Z
CREATED:20251111T103731Z
DESCRIPTION:Abstract: Recent years have seen the onset of cyber threats aga
 inst a number of cyber-physical systems\, including safety-critical infras
 tructure\, such as power distribution grids and water networks. Secure con
 trol has arisen as a counterpart to traditional IT security as a means to 
 diagnose the presence of cyber attacks\, as well as to accommodate their e
 ffects. In this talk\, I will start by addressing the problem of cyber-att
 ack detection in cyber-physical systems\, highlighting known structural pr
 operties which must hold for attacks to remain undetectable. I will then s
 how how in large-scale systems locally secure information can be leveraged
  to ensure attacks remain detectable\, and how this information can be fur
 ther exploited to reconstruct secure local state estimates. Finally\, I wi
 ll show how active techniques can be used to thwart these structural condi
 tions\, by altering the system's behavior compared to the attacker's inter
 nal model. Bio: Alexander J Gallo received the M.Eng. and his Ph.D. degree
  in Control Engineering from Imperial College London\, London\, UK\, in 20
 16 and 2021. From 2021 to 2024 he was a postdoctoral researcher at the Del
 ft Center for Systems and Control\, Delft University of Technology\, Delft
 \, the Netherlands. Since Sep 2024\, he is a postdoctoral researcher at th
 e Politecnico di Milano\, Milan\, Italy. His main research interests inclu
 de distributed cyber-security and fault tolerant control for large-scale i
 nterconnected systems\, with a particular focus on energy distribution net
 works\, as well as health-aware and fault tolerant control of wind turbine
 s. More recently\, he has been working on providing guarantees to data-dri
 ven decision and control problems with the scenario approach.
DTSTART;TZID=Europe/Paris:20251125T110000
DTEND;TZID=Europe/Paris:20251125T110000
LAST-MODIFIED:20251111T105132Z
LOCATION:Aula B203
SUMMARY:Detecting cyber attacks in cyber-physical systems - Alexander J. Ga
 llo
URL;TYPE=URI:http://oba.diag.uniroma1.it/node/30037
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