Article (Scientific journals)
Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series
ABELLÁN ÁLVAREZ, Iván; DELGADO FERNANDEZ, Joaquin; POTENCIANO MENCI, Sergio
2025In Computers and Security, 157, p. 104579
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Keywords :
Time Series Data Analysis; Privacy-Utility Trade-off; Threat Modeling; Fully Homomorphic Encrypted Distributed Clustering; Differential Privacy
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
ABELLÁN ÁLVAREZ, Iván ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
DELGADO FERNANDEZ, Joaquin  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
POTENCIANO MENCI, Sergio  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
External co-authors :
no
Language :
English
Title :
Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series
Publication date :
2025
Journal title :
Computers and Security
ISSN :
0167-4048
Publisher :
Elsevier, United Kingdom
Volume :
157
Pages :
104579
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Development Goals :
9. Industry, innovation and infrastructure
FnR Project :
FNR16326754 - PABLO - Privacy-preserving Tokenisation Of Artworks, 2021 (01/06/2022-31/05/2025) - Gilbert Fridgen
FNR17886330 - DELPHI - Data Driven Electricity Load Prediction For Households And Small Industry, 2023 (01/10/2023-30/09/2025) - Gilbert Fridgen
FNR13342933 - DFS - Paypal-fnr Pearl Chair In Digital Financial Services, 2019 (01/01/2020-31/12/2024) - Gilbert Fridgen
Funding number :
13342933; 16326754; 17886330
Funding text :
This research was funded in part by the Luxembourg National Research Fund (FNR) through the PABLO project (grant reference 16326754) and the DELPHI project (grant reference 17886330). Further this study has been also sponsored by PayPal, grant reference ``P17/IS/13342933/PayPal-FNR/Chair in DFS/GF'' (PEARL). For the purpose of open access and in fulfillment of the obligations arising from the FNR grant agreement, the authors have applied a Creative Commons Attribution~4.0 International (CC~BY~4.0) license to any Author Accepted Manuscript version arising from this submission.
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