Privacy Guarantees for Cloud-based State Estimation using Partially Homomorphic Encryption

Emad, Sawsan (author): Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt.,Ain Shams University, Cairo, Egypt

Alanwar, Amr (author): Jacobs Univ, Bremen, Germany.,Jacobs University Bremen, Bremen, Germany

Alkabani, Yousra, 1981- (author): Högskolan i Halmstad,Akademin för informationsteknologi

El-Kharashi, M. Watheq (author): Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt.,Ain Shams University, Cairo, Egypt

Sandberg, Henrik (author): KTH,Reglerteknik,Royal Institute of Technology, Stockholm, Sweden

Johansson, Karl H., 1967- (author): KTH,Reglerteknik,Royal Institute of Technology, Stockholm, Sweden

Ain Shams Univ, Comp & Syst Dept, Cairo, Egypt Ain Shams University, Cairo, Egypt (creator_code:org_t)

IEEE, 2022
2022
English.
In: 2022 European Control Conference (ECC). - : IEEE. - 9783907144077 - 9781665497336 ; , s. 98-105

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.2...; https://urn.kb.se/re...; show less...

Abstract Subject headings

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.

By the author/editor: Emad, Sawsan; Alanwar, Amr; Alkabani, Yousra ...; El-Kharashi, M. ...; Sandberg, Henrik; Johansson, Karl ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Science ...

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