Synthetic dataset generator for anomaly detection in a university environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00058361" target="_blank" >RIV/61384399:31140/23:00058361 - isvavai.cz</a>
Result on the web
<a href="https://content.iospress.com/articles/intelligent-data-analysis/ida216511" target="_blank" >https://content.iospress.com/articles/intelligent-data-analysis/ida216511</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/IDA-216511" target="_blank" >10.3233/IDA-216511</a>
Alternative languages
Result language
angličtina
Original language name
Synthetic dataset generator for anomaly detection in a university environment
Original language description
Main topics of the document: anomaly detection; automated attacks; dataset; machine learning; synthetic generator; university environment
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Intelligent Data Analysis
ISSN
1088-467X
e-ISSN
1571-4128
Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
417-422
UT code for WoS article
000970251100007
EID of the result in the Scopus database
2-s2.0-85161112815