Thesis Details
Automatizace tvorby detektorů vybraných síťových útoků
Bachelor's Thesis
Student: Huták Lukáš
Academic Year: 2014/2015
Supervisor: Žádník Martin, Ing., Ph.D.
English title
Automated Development of Network Attack Detectors
Language
Czech
Abstract
The thesis is focused on automated development of network attack detectors. It describes a design of patterns developed for normal and offensive behaviors based on monitoring network traffic of selected services. Patterns are represented by statistics with a focus on suitable metrics. Using machine learning algorithms attack detectors are created from behavioral patterns. Finally, a module was implemented for Nemea system in C/C++ programming language based on the proposal.
Keywords
network security, NetFlow, honeypot, automated processing, behavioral patterns, Nemea
Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
17 June 2015
Reviewer
Committee
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HUTÁK, Lukáš. Automatizace tvorby detektorů vybraných síťových útoků. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-17. Supervised by Žádník Martin. Available from: https://www.fit.vut.cz/study/thesis/16959/
BibTeX
@bachelorsthesis{FITBT16959, author = "Luk\'{a}\v{s} Hut\'{a}k", type = "Bachelor's thesis", title = "Automatizace tvorby detektor\r{u} vybran\'{y}ch s\'{i}\v{t}ov\'{y}ch \'{u}tok\r{u}", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/16959/" }