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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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