Thesis Details
Detekce anomálií v provozu IEC 61850
Bachelor's Thesis
Student: Pešková Daniela
Academic Year: 2020/2021
Supervisor: Matoušek Petr, doc. Ing., Ph.D., M.A.
English title
Anomaly Detection in IEC 61850 Communication
Language
Czech
Abstract
This thesis deals with anomaly detection in industrial communication IEC 61850. It studies using various statistical analysis methods and probabilistic automata for creating communication profiles and its accuracy while detecting anomalies.
Keywords
anomaly detection, IEC 61850, MMS, GOOSE, statistical analysis, probabilistic automata
Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
18 June 2021
Reviewer
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
PEŠKOVÁ, Daniela. Detekce anomálií v provozu IEC 61850. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-18. Supervised by Matoušek Petr. Available from: https://www.fit.vut.cz/study/thesis/23264/
BibTeX
@bachelorsthesis{FITBT23264,
author = "Daniela Pe\v{s}kov\'{a}",
type = "Bachelor's thesis",
title = "Detekce anom\'{a}li\'{i} v provozu IEC 61850",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2021,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/23264/"
}