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@inproceedings{1793358,
author = {Blanco Sánchez, José Miguel and Rossi, Bruno and Pitner, Tomáš},
address = {New York, USA},
booktitle = {Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS)},
doi = {http://dx.doi.org/10.15439/2021F106},
keywords = {Smart Grid; Smart Meters; Data Tampering; Semantic Web},
howpublished = {elektronická verze "online"},
language = {eng},
location = {New York, USA},
isbn = {978-1-6654-2942-9},
pages = {511-519},
publisher = {IEEE},
title = {A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure},
year = {2021}
}
TY - JOUR
ID - 1793358
AU - Blanco Sánchez, José Miguel - Rossi, Bruno - Pitner, Tomáš
PY - 2021
TI - A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure
PB - IEEE
CY - New York, USA
SN - 9781665429429
KW - Smart Grid
KW - Smart Meters
KW - Data Tampering
KW - Semantic Web
N2 - Smart Grids offer multiple benefits: efficient energy provision, quicker recoveries from failures, etc. Nevertheless, there is risk of data tampering, unsolicited modification of the data of the smart meters. The main aim of this paper is to provide a model for processing the smart meter data that flags any energy consumption level that could be indication of data tampering. The proposed model is time-sensitive, allowing for tracking the energy usage along time, thus making possible the detection of long-lasting abnormal levels of energy consumption. Such model can be integrated in an anomaly detection system and in a semantic web reasoner.
ER -
BLANCO SÁNCHEZ, José Miguel, Bruno ROSSI and Tomáš PITNER. A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure. Online. In \textit{Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS)}. New York, USA: IEEE, 2021, p.~511-519. ISBN~978-1-6654-2942-9. Available from: https://dx.doi.org/10.15439/2021F106.
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