- Machine Learning-Based Detection of Anomalies, Intrusions and Threats…
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Machine Learning-Based Detection of Anomalies, Intrusions and Threats in Industrial Control Systems

  1. Title statementMachine Learning-Based Detection of Anomalies, Intrusions and Threats in Industrial Control Systems / aut. Denis Benka, Dušan Horváth, Lukáš Špendla, Gabriel Gašpar ; zost. Maximilián Strémy
    Main entry-name Benka, Denis, 1995- (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Another responsib. Horváth, Dušan, 1987- Z2 (Author) - MTF Ústav výskumu progresívnych technológií
    Špendla, Lukáš, 1984- Z1 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Gašpar, Gabriel, 1979- Z8 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Strémy, Maximilián, 1978- Z1 (Author) - MTF Ústav výskumu progresívnych technológií
    In IEEE Access. -- ISSN 2169-3536. -- Vol. 13 (2025), s. 12502-12514
    Subj. Headings anomaly detection
    intrusion detection systems
    machine learning
    threat detection
    programmable logic controllers
    LanguageEnglish
    URLhttps://ieeexplore.ieee.org/document/10843706
    Document kindRBX - článok z periodika
    CategoryADC - Scientific titles in foreign carented magazines and noticed year-books
    Category (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    In databases
    Year2025
    article

    article

Number of the records: 1  

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