Evaluation of Anomaly Detection Based on Classification in Relation to SCADA

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of Anomaly Detection Based on Classification in Relation to SCADA

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Evaluation of Anomaly Detection Based on Classification in Relation to SCADA

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/VI20172019054" target="_blank" >VI20172019054: Analytický programový modul pro hodnocení odolnosti v reálném čase z hlediska konvergované bezpečnosti</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICMT 2017 - 6th International Conference on Military Technologies

ISBN

978-1-5386-1988-9

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

330-334

Název nakladatele

University of Defence

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

31. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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