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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00122409" target="_blank" >RIV/00216224:14330/21:00122409 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.15439/2021F106" target="_blank" >http://dx.doi.org/10.15439/2021F106</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15439/2021F106" target="_blank" >10.15439/2021F106</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS)

  • ISBN

    9781665429429

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    511-519

  • Publisher name

    IEEE

  • Place of publication

    New York, USA

  • Event location

    Sofia, Bulgaria

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000904349400065