Thesis Details

Filtrace a profilování IP toků

Bachelor's Thesis Student: Sedlák Michal Academic Year: 2019/2020 Supervisor: Kučera Jan, Ing.
English title
IP Flow Filtration and Profiling
Language
Czech
Abstract

This thesis addresses the problem of filtering and profiling IP flows, primarily data of IPFIXsystems. Within the work, a general filtering component is designed and implemented, whichaims to be sufficiently efficient and flexible for use in other projects related to IP flows. Thiscomponent is then adapted to work with data in the IPFIX protocol format and integratedinto the existing modular collector IPFIXcol2 in the form of plugins adding the support forfiltering of passing IPFIX data and their sorting into profiles.

Keywords

network monitoring, filtering, formal languages, profiling, IP flows, IPFIX, collector

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 July 2020
Reviewer
Tisovčík Peter, Ing.
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
SEDLÁK, Michal. Filtrace a profilování IP toků. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-10. Supervised by Kučera Jan. Available from: https://www-dev.fit.vutbr.cz/study/thesis/22989/
BibTeX 
@bachelorsthesis{FITBT22989,
    author = "Michal Sedl\'{a}k",
    type = "Bachelor's thesis",
    title = "Filtrace a profilov\'{a}n\'{i} IP tok\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22989/"
}

Theses

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