Thesis Details

Detekce spamu pomocí DNS MX záznamů

Bachelor's Thesis Student: Plotěný Ondřej Academic Year: 2015/2016 Supervisor: Kováčik Michal, Ing.
English title
Spam Detection Using DNS MX Records
Language
Czech
Abstract
The aim of this thesis is the detection of malicious spammer hosts based on passive analysis of captured DNS traffic.
It represents the design and implementation of a system which proceeds DNS anomaly detection based on high volume of MX query per host and high NXDomain ratio. 
The system was tested on DNS data obtained from the real traffic and the functionality of implemented detectors was verified by testing and analysis of results.
Keywords

DNS, MX, NXDomain, detection, passive DNS analysis, PCAP, botnet

Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
15 June 2016
Reviewer
Committee
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
PLOTĚNÝ, Ondřej. Detekce spamu pomocí DNS MX záznamů. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-15. Supervised by Kováčik Michal. Available from: https://www.fit.vut.cz/study/thesis/18671/
BibTeX
@bachelorsthesis{FITBT18671,
    author = "Ond\v{r}ej Plot\v{e}n\'{y}",
    type = "Bachelor's thesis",
    title = "Detekce spamu pomoc\'{i} DNS MX z\'{a}znam\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18671/"
}
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