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 and Tomáš PITNER

Basic information

Original name

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

Authors

BLANCO SÁNCHEZ, José Miguel (724 Spain, guarantor, belonging to the institution), Bruno ROSSI (380 Italy, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

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

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/21:00122409

Organization unit

Faculty of Informatics

ISBN

978-1-6654-2942-9

DOI

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

UT WoS

000904349400065

Keywords in English

Smart Grid; Smart Meters; Data Tampering; Semantic Web

Abstract

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.

Links

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

Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

EF16_019/0000822, research and development project

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

Citovat

BLANCO SÁNCHEZ, José Miguel, Bruno ROSSI and 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, p. 511-519. ISBN 978-1-6654-2942-9. Available from: 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 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.

Detailed Information on Publication Record