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Evaluation of Anomaly Detection Based on Classification in Relation to SCADA

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63516929" target="_blank" >RIV/70883521:28140/17:63516929 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988779" target="_blank" >http://dx.doi.org/10.1109/MILTECHS.2017.7988779</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988779" target="_blank" >10.1109/MILTECHS.2017.7988779</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Anomaly Detection Based on Classification in Relation to SCADA

  • Original language description

    The accelerating development of information and communication technologies have an eminent influence on contemporary society. As a result, we have an opportunity to increase our effectiveness. However, there is a drawback. Contemporary systems becoming much more interconnected and opened. However, it negatively affects cyber security of Supervisory Control and Data Acquisition (SCADA) systems. Therefore, the reliable security system must be applied in order to increase system resilience. The article deals with widely used systems for intrusion detection (IDS). These systems are an indispensable basis for cyber security of every organization. The aim of the article is to evaluate an anomaly detection predictive models based on classification.

  • 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/VI20172019054" target="_blank" >VI20172019054: An analitical software module for the real-time resilience evaluation from point of the converged security</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICMT 2017 - 6th International Conference on Military Technologies

  • ISBN

    978-1-5386-1988-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    330-334

  • Publisher name

    University of Defence

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    May 31, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article