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Method for Running Dynamic Systems over Encrypted Data for Infinite Time Horizon without Bootstrapping and Re-encryption
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Digital Futures, Stockholm, Sweden..ORCID iD: 0000-0002-4450-8741
Seoul Natl Univ, ASRI, Dept Elect & Comp Engn, Seoul, South Korea..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Digital Futures, Stockholm, Sweden..ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Digital Futures, Stockholm, Sweden..ORCID iD: 0000-0001-9940-5929
2021 (English)In: 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), Institute of Electrical and Electronics Engineers (IEEE) , 2021, p. 5614-5619Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a method for dynamic systems to operate over homomorphically encrypted data for an infinite time horizon, where we do not make use of reset, re-encryption, or bootstrapping for the encrypted messages. The given system is first decomposed into the stable part and the anti-stable part. Then, the stable part is approximated to have finite impulse response, and by a novel conversion scheme, the eigenvalues of the state matrix of the anti-stable part are approximated to algebraic integers. This allows that the given system can be implemented to operate for an infinite time horizon using only addition and multiplication over encrypted data, without re-encrypting any portion of data. The performance error caused by the approximation and quantization can be made arbitrarily small, with appropriate choice of parameters.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. p. 5614-5619
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Subatomic Physics Geology Environmental Sciences
Identifiers
URN: urn:nbn:se:kth:diva-313024DOI: 10.1109/CDC45484.2021.9682828ISI: 000781990304143Scopus ID: 2-s2.0-85126065970OAI: oai:DiVA.org:kth-313024DiVA, id: diva2:1662638
Conference
60th IEEE Conference on Decision and Control (CDC), DEC 13-17, 2021, ELECTR NETWORK
Note

Part of proceedings: ISBN 978-1-6654-3659-5

QC 20220601

Available from: 2022-06-01 Created: 2022-06-01 Last updated: 2023-01-17Bibliographically approved

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Kim, JunsooSandberg, HenrikJohansson, Karl H.

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