Sökning: WFRF:(Johansson Karl Henrik 1967 )
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Privacy Guarantees ...
Privacy Guarantees for Cloud-based State Estimation using Partially Homomorphic Encryption
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- Emad, Sawsan (författare)
- Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt.,Ain Shams University, Cairo, Egypt
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- Alanwar, Amr (författare)
- Jacobs Univ, Bremen, Germany.,Jacobs University Bremen, Bremen, Germany
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- Alkabani, Yousra, 1981- (författare)
- Högskolan i Halmstad,Akademin för informationsteknologi
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- El-Kharashi, M. Watheq (författare)
- Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt.,Ain Shams University, Cairo, Egypt
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- Sandberg, Henrik (författare)
- KTH,Reglerteknik,Royal Institute of Technology, Stockholm, Sweden
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- Johansson, Karl H., 1967- (författare)
- KTH,Reglerteknik,Royal Institute of Technology, Stockholm, Sweden
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Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt Ain Shams University, Cairo, Egypt (creator_code:org_t)
- IEEE, 2022
- 2022
- Engelska.
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Ingår i: 2022 European Control Conference (ECC). - : IEEE. - 9783907144077 - 9781665497336 ; , s. 98-105
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- The privacy aspect of state estimation algorithms has been drawing high research attention due to the necessity for a trustworthy private environment in cyber-physical systems. These systems usually engage cloud-computing platforms to aggregate essential information from spatially distributed nodes and produce desired estimates. The exchange of sensitive data among semi-honest parties raises privacy concerns, especially when there are coalitions between parties. We propose two privacy-preserving protocols using Kalman filter and partially homomorphic encryption of the measurements and estimates while exposing the covariances and other model parameters. We prove that the proposed protocols achieve satisfying computational privacy guarantees against various coalitions based on formal cryptographic definitions of indistinguishability. We evaluate the proposed protocols to demonstrate their efficiency using data from a real testbed.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Kalman filter
- estimation
- computational privacy
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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