A Time-Sensitive Model for Data Tampering Detection for the
Advanced Metering Infrastructure

D 2021

A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure

BLANCO SÁNCHEZ, José Miguel, Bruno ROSSI a Tomáš PITNER

Základní údaje

Originální název

A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure

Autoři

BLANCO SÁNCHEZ, José Miguel (724 Španělsko, garant, domácí), Bruno ROSSI (380 Itálie, domácí) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

New York, USA, Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS), od s. 511-519, 9 s. 2021

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/21:00122409

Organizační jednotka

Fakulta informatiky

ISBN

978-1-6654-2942-9

DOI

http://dx.doi.org/10.15439/2021F106

UT WoS

000904349400065

Klíčová slova anglicky

Smart Grid; Smart Meters; Data Tampering; Semantic Web

Štítky

core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 16. 8. 2023 13:22, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

BLANCO SÁNCHEZ, José Miguel, Bruno ROSSI a Tomáš PITNER. A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure. Online. In Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS). New York, USA: IEEE, 2021, s. 511-519. ISBN 978-1-6654-2942-9. Dostupné z: https://dx.doi.org/10.15439/2021F106.

@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 a 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, s.~511-519. ISBN~978-1-6654-2942-9. Dostupné z: https://dx.doi.org/10.15439/2021F106.

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