Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data

Dejan Radovanovic; Joaquin Delgado Fernandez; Maximilian Jakob Schirl; Andreas Unterweger; Günther Eibl; Sergio Potenciano Menci

doi:10.1145/3777518.3777533

Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data

Dejan Radovanovic
, Joaquin Delgado Fernandez
, Maximilian Jakob Schirl
, Andreas Unterweger
, Günther Eibl
, Sergio Potenciano Menci

University of Luxembourg
Interdisciplinary Centre for Security, Reliability and Trust

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	ACM SIGEnergy Energy Informatics Review
Volume	5
Issue number	3
DOIs	https://doi.org/10.1145/3777518.3777533
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

smart meter data anonymization
microaggregation
k-anonymity
utility-privacy trade-off
group membership inference
time series privacy
unsupervised learning

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

202041 Computer engineering

Applied Research Level (ARL)

ARL Level 9 - Qualified principle with proof of successful application

Research focus/foci

Industrial Informatics

Access to Document

10.1145/3777518.3777533Licence: CC BY-NC-ND

Cite this

@article{66a610b45085413a9a6bcdacf3239d9d,

title = "Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data",

keywords = "smart meter data anonymization, microaggregation, k-anonymity, utility-privacy trade-off, group membership inference, time series privacy, unsupervised learning",

author = "Dejan Radovanovic and Fernandez, \{Joaquin Delgado\} and Schirl, \{Maximilian Jakob\} and Andreas Unterweger and G{\"u}nther Eibl and Menci, \{Sergio Potenciano\}",

year = "2025",

doi = "10.1145/3777518.3777533",

language = "English",

volume = "5",

journal = "ACM SIGEnergy Energy Informatics Review",

issn = "2770-5331",

publisher = "Association for Computing Machinery (ACM)",

number = "3",

}

TY - JOUR

T1 - Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data

AU - Radovanovic, Dejan

AU - Fernandez, Joaquin Delgado

AU - Schirl, Maximilian Jakob

AU - Unterweger, Andreas

AU - Eibl, Günther

AU - Menci, Sergio Potenciano

PY - 2025

Y1 - 2025

KW - smart meter data anonymization

KW - microaggregation

KW - k-anonymity

KW - utility-privacy trade-off

KW - group membership inference

KW - time series privacy

KW - unsupervised learning

UR - https://energy.acm.org/eir/inferring-the-hidden-privacy-risks-of-microaggregation-in-smart-meter-data/

U2 - 10.1145/3777518.3777533

DO - 10.1145/3777518.3777533

M3 - Article

SN - 2770-5331

VL - 5

JO - ACM SIGEnergy Energy Informatics Review

JF - ACM SIGEnergy Energy Informatics Review

IS - 3

ER -

Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data

UN SDGs

Keywords

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

Applied Research Level (ARL)

Research focus/foci

Access to Document

Other files and links

FTZ CyberSec: Cybersecurity – FTZ for Data-Based Evaluation of Security and Privacy Technologies

Cite this

Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data

UN SDGs

Keywords

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

Applied Research Level (ARL)

Research focus/foci

Access to Document

Other files and links

Projects

FTZ CyberSec: Cybersecurity – FTZ for Data-Based Evaluation of Security and Privacy Technologies

Cite this