Thesis Details

Analýza škodlivého šifrovaného síťového provozu

Bachelor's Thesis Student: Dubec Branislav Academic Year: 2020/2021 Supervisor: Očenášek Pavel, Mgr. Ing., Ph.D.
English title
Analysis of Malicious Encrypted Network Traffic
Language
Czech
Abstract

This bachelor thesis deals with the analysis of malicious encrypted network traffic using artificial intelligence methods. A solution is to create a system for detecting security intrusions using detection analysis methods. Theoretical part describes methods of anomaly detection, and explains the concept of artificial neural network. In the practical part, it experiments with various anomaly detection techniques in order to obtain the best results.

Keywords

detection of anomalies, ja3, TCP flow, machine learning

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
18 June 2021
Reviewer
Homoliak Ivan, Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
DUBEC, Branislav. Analýza škodlivého šifrovaného síťového provozu. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-18. Supervised by Očenášek Pavel. Available from: https://www.fit.vut.cz/study/thesis/24215/
BibTeX 
@bachelorsthesis{FITBT24215,
    author = "Branislav Dubec",
    type = "Bachelor's thesis",
    title = "Anal\'{y}za \v{s}kodliv\'{e}ho \v{s}ifrovan\'{e}ho s\'{i}\v{t}ov\'{e}ho provozu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24215/"
}

Theses

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