Bc. Jaromír Navrátil
Master's thesis
Anomaly detection in network traffic
Anomaly detection in network traffic
Abstract:
Cílem této práce je poskytnout přehled metod detekce anomálií použitelných na data síťového provozu a implementovat a otestovat systém pro detekci anomálií v reálném čase. Tato práce navrhuje novou metodu detekce anomálií, kterou porovnává s několika již existujícími. Výsledné řešení je vyhodnoceno nad daty skutečného provozu, které byly poskytnuty zákazníkem společnosti Trusted Network Solutions. …moreAbstract:
The goal of this thesis is to provide an overview of anomaly detection methods, specifically those usable on network traffic data, and to implement a framework for real-time anomaly detection. This thesis proposes a novel anomaly detection algorithm and compares it to several existing ones. The solution is evaluated using data from a real traffic provided by a customer of the company Trusted Network …more
Language used: English
Date on which the thesis was submitted / produced: 22. 5. 2017
Identifier:
https://is.muni.cz/th/olxah/
Thesis defence
- Date of defence: 19. 6. 2017
- Supervisor: doc. RNDr. Lubomír Popelínský, Ph.D.
- Reader: Mgr. Karol Kubanda
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Informatics / Computer Systems
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