Thesis Details

Vyhodnocování rizik internetových domén

Bachelor's Thesis Student: Polišenský Jan Academic Year: 2021/2022 Supervisor: Očenášek Pavel, Mgr. Ing., Ph.D.
English title
Internet Domain Risk Evaluation
Language
Czech
Abstract

Internet domains play a crucial role in providing web services. It is necessary to be able to detect malicious domains. The aim of this thesis is to summarize current work on domain classification and develop improved system of classification. This system is implemented using support vector machines a neural networks and shows 96.3% accuracy on test data.

Keywords

Internet domains, domain classification, neural networks, support vector machines

Department
Degree Programme
Files
Status
defended, grade B
Date
16 June 2022
Reviewer
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Beran Vítězslav, Ing., Ph.D. (DCGM FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Citation
POLIŠENSKÝ, Jan. Vyhodnocování rizik internetových domén. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Očenášek Pavel. Available from: https://www.fit.vut.cz/study/thesis/25126/
BibTeX
@bachelorsthesis{FITBT25126,
    author = "Jan Poli\v{s}ensk\'{y}",
    type = "Bachelor's thesis",
    title = "Vyhodnocov\'{a}n\'{i} rizik internetov\'{y}ch dom\'{e}n",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25126/"
}
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