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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

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Forsgren, HenrikBrännvall, RickardVesterlund, MattiasMinde, Tor Björn

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