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Mgr. Ondrej Klinovský

Master's thesis

Detect Anomalies in Linux Kernel Logs

Detect Anomalies in Linux Kernel Logs
Abstract:
Linux kernel je jeden z najväčších open source projektov na svete a podporuje nespočetne veľa zariadení a architektúr. Testovanie kernelu na všetkých takýchto zariadeniach vyžaduje veľa úsilia nielen na pripravenie riadnej infraštruktúry, ale aj efektívne monitorovanie chýb. Cieľom tejto práce je využit strojové učenie pre detekovanie anomálií v logoch generovaných Linux kernelom. Niektoré anomálie …more
Abstract:
The Linux kernel is one of the largest open source projects in the world and it supports countless devices and various architectures. To test that the kernel functions correctly on these devices requires huge effort not only to setup proper infrastructure for testing but also be able to effectively spot failures and act upon them. The goal of this thesis is to employ anomaly detection methods to find …more
 

Keywords

Linux anomaly logs parsing machine learning LSTM pytorch Deeplog Dablog GCC GCC plugin Python Drain anomália parsovanie logov strojové učenie
 
Language used: English
Date on which the thesis was submitted / produced: 13. 12. 2022
Identifier: https://is.muni.cz/th/ug8ef/

Thesis defence

  • Date of defence: 23. 1. 2023
  • Supervisor: RNDr. Adam Rambousek, Ph.D.
  • Reader: Ing. Adam Okuliar

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