Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Homomorphic Encryption Enables Data and Algorithm Confidentiality for Remote Monitoring and Control: An Application to Data Center Systems
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0009-0001-0178-3436
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0003-4293-6408
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-7381-9154
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-3684-8332
2023 (English)In: Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, Association for Computing Machinery , 2023, p. 85-90Conference paper, Published paper (Refereed)
Abstract [en]

The design of intelligent algorithms used for device monitoring and control can be costly and is an investment that must be protected against reverse engineering by competitors. An algorithm can be safeguarded by running remotely from the cloud instead of locally on the equipment hardware. However, such a setup requires that sensitive data is sent from the device to the cloud. Fully Homomorphic Encryption (FHE) is an emerging technology that offers a solution to this problem since it enables computation on encrypted data. A cloud service using FHE can protect its proprietary algorithms while simultaneously offering customer data confidentiality. The computational overhead for the technology is, however, still very high. This work reports on a practical investigation of using FHE for data center remote control problems: What applications are feasible today? And at what cost?

Place, publisher, year, edition, pages
Association for Computing Machinery , 2023. p. 85-90
Keywords [en]
remote control, homomorphic encryption, confidential computing, remote monitoring, neural networks
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-65653DOI: 10.1145/3599733.3600254OAI: oai:DiVA.org:ri-65653DiVA, id: diva2:1780171
Conference
e-Energy '23 Companion: Companion Proceedings of the 14th ACM International Conference on Future Energy Systems. June 2023
Available from: 2023-07-05 Created: 2023-07-05 Last updated: 2023-10-31Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Forsgren, HenrikBrännvall, RickardVesterlund, MattiasMinde, Tor Björn

Search in DiVA

By author/editor
Forsgren, HenrikBrännvall, RickardVesterlund, MattiasMinde, Tor Björn
By organisation
Data Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 63 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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