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dc.contributor.author
Pasqualetti, Fabio
dc.contributor.author
Dörfler, Florian
dc.contributor.author
Bullo, Francesco
dc.date.accessioned
2023-09-18T11:43:34Z
dc.date.available
2023-09-18T11:41:43Z
dc.date.available
2023-09-18T11:43:34Z
dc.date.issued
2015-02
dc.identifier.issn
0272-1708
dc.identifier.issn
1066-033X
dc.identifier.issn
1941-000X
dc.identifier.other
10.1109/MCS.2014.2364725
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/632113
dc.description.abstract
Cyberphysical systems integrate physical processes, computational resources, and communication capabilities. Cyberphysical systems have permeated modern society, becoming prevalent in many domains, including energy production, health care, and telecommunications. Examples of cyberphysical systems include sensor networks, industrial automation systems, and critical infrastructures such as transportation networks, power generation and distribution networks, water and gas distribution networks, and advanced manufacturing systems. The integration of cybertechnologies with physical processes increases system efficiencies and, at the same time, introduces vulnerabilities that undermine the reliability of critical infrastructures. As recently highlighted by the Maroochy water breach in March 2000 [1], multiple recent power blackouts in Brazil [2], the SQL Slammer worm attack on the Davis-Besse nuclear plant in January 2003 [3], the StuxNet computer worm in June 2010 [4], and various industrial security incidents [5], cyberphysical systems are prone to failures and attacks on their physical infrastructure and cyberattacks on their data management and communication layer [6], [7].
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems
en_US
dc.type
Journal Article
dc.date.published
2015-01-16
ethz.journal.title
IEEE Control Systems Magazine
ethz.journal.volume
35
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
IEEE control syst.
ethz.pages.start
110
en_US
ethz.pages.end
127
en_US
ethz.identifier.wos
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::09478 - Dörfler, Florian / Dörfler, Florian
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::09478 - Dörfler, Florian / Dörfler, Florian
ethz.date.deposited
2017-06-11T16:20:03Z
ethz.source
ECIT
ethz.identifier.importid
imp593652f61aaeb68628
ethz.identifier.importid
imp593654024b23329330
ethz.ecitpid
pub:154104
ethz.ecitpid
pub:172617
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2023-09-18T11:41:45Z
ethz.rosetta.lastUpdated
2024-02-03T03:49:41Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/98494
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/164453
ethz.COinS
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