Thesis Details
Detekce škodlivých domén pomocí analýzy DNS provozu
Bachelor's Thesis
Student: Podešvová Vlasta
Academic Year: 2014/2015
Supervisor: Kováčik Michal, Ing.
English title
Malicious Domains Detection Using Analysis of DNS Traffic
Language
Czech
Abstract
The aim of this bachelor's thesis is to design, implement and test a system for malicious domain detection in data sets obtained from real network traffic. It is aimed specifically on detection of DGA botnet activities. This detection is provided by analysis of domain name syntax. Part of the solution is focused at building a model from a set of legal domain names. This model is used for domain name syntax analysis and user of the final system is allowed to choose his own model data. Overall this thesis brings a view on the efficiency of implemented methods of malicious domain detection.
Keywords
DNS, malicious domain, botnet, DGA, domain name syntax analysis
Department
Degree Programme
Information Technology
Files
Status
defended, grade B
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
PODEŠVOVÁ, Vlasta. Detekce škodlivých domén pomocí analýzy DNS provozu. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-17. Supervised by Kováčik Michal. Available from: https://www.fit.vut.cz/study/thesis/16149/
BibTeX
@bachelorsthesis{FITBT16149, author = "Vlasta Pode\v{s}vov\'{a}", type = "Bachelor's thesis", title = "Detekce \v{s}kodliv\'{y}ch dom\'{e}n pomoc\'{i} anal\'{y}zy DNS provozu", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/16149/" }