Thesis Details

Aplikační monitorování IoT zařízení

Master's Thesis Student: Krajč Patrik Academic Year: 2021/2022 Supervisor: Matoušek Petr, doc. Ing., Ph.D., M.A.
Language
Slovak
Abstract

IoT devices use various standards at the level of the transmission medium and communication protocol. The aim of the work is to create a system, which we can unify a heterogeneous network of the Internet of Things for monitoring purposes. For data collection from the IoT network was used the Home Assistant platform which is uses SNMP agent we created. The monitoring system includes the Nagios core system, which is extended with machine learning-based anomaly detection.

Keywords

IoT network, SNMP system, anomaly detection, machine learning, linear regression, polynomial regression, isolation forest, local outlier factor

Department
Degree Programme
Files
Status
defended, grade A
Date
20 June 2022
Reviewer
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
KRAJČ, Patrik. Aplikační monitorování IoT zařízení. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-20. Supervised by Matoušek Petr. Available from: https://www.fit.vut.cz/study/thesis/24419/
BibTeX
@mastersthesis{FITMT24419,
    author = "Patrik Kraj\v{c}",
    type = "Master's thesis",
    title = "Aplika\v{c}n\'{i} monitorov\'{a}n\'{i} IoT za\v{r}\'{i}zen\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/24419/"
}
Back to top