liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Secure Cloud Control Using Verifiable Computation
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Department of Electrical and Information Technology, Lund University, Sweden.ORCID iD: 0000-0002-1673-4733
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. General Motors R&D, Warren, MI, USA.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Show others and affiliations
2021 (English)In: 2021 IEEE International Conference on Omni-Layer Intelligent Systems (IEEE COINS 2021), Barcelona, Spain: IEEE, 2021, p. 21-26Conference paper, Published paper (Refereed)
Abstract [en]

Security for outsourced control applications can be provided if the physical plant is enabled with a mechanism to verify the control signal received from the cloud. Recent developments in modern cryptography claim the applicability of verifiable computation techniques. Such techniques allow a client to check the correctness of a remote execution. This article delivers a proof of concept for applicability of the verifiable computation scheme to control applications over the cloud. We showcase the practicality of verifiable computation on physical plants with different timing demands and deliver a real-life example using a watertank system as the client and Microsoft Azure as the cloud. We show the effectiveness of the verifiable computation scheme on cloud-based implementation of advanced control methods, such as Model Predictive Control.

Place, publisher, year, edition, pages
Barcelona, Spain: IEEE, 2021. p. 21-26
Keywords [en]
verifiable computation; predictive control; outsourced control; secure cloud control
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-179044DOI: 10.1109/COINS51742.2021.9524115ISI: 000855957700004ISBN: 9781665431569 (electronic)ISBN: 9781665431576 (print)OAI: oai:DiVA.org:liu-179044DiVA, id: diva2:1592198
Conference
IEEE International Conference on Omni-Layer Intelligent Systems (IEEE COINS), ELECTR NETWORK, aug 23-26, 2021
Available from: 2021-09-08 Created: 2021-09-08 Last updated: 2022-10-12

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Mahfouzi, RouhollahAminifar, AmirSamii, SoheilEles, Petru IonPeng, Zebo

Search in DiVA

By author/editor
Mahfouzi, RouhollahAminifar, AmirSamii, SoheilEles, Petru IonPeng, Zebo
By organisation
Software and SystemsFaculty of Science & Engineering
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 118 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf