Adaptive complementing of DNS flow features based upon correlated events – Bc. Martin Hesko
Bc. Martin Hesko
Bachelor's thesis
Adaptive complementing of DNS flow features based upon correlated events
Adaptive complementing of DNS flow features based upon correlated events
Abstract:
Táto práca sa zaoberá prácou s korelovanými datasetmi zachytenými z monitorovania tokov a udalostí. Tieto korelované údaje používame na doplnenie prázdnych parametrov toku pomocou korelovanej udalosti. V práci sa zaoberáme analýzou datasetov za účelom identifikácie parametrov, ktoré chceme doplniť, a následne vytvoríme aplikáciu na doplnenie týchto parametrov. Preukazujeme užitočnosť korelovaných údajov …moreAbstract:
This thesis covers working with correlated datasets captured from flow and event monitoring. We use this correlated data to complement empty flow parameters using the correlated event. We first analyze the datasets to identify the parameters we are interested in for complementing and develop a command-line application for complementing these parameters. We demonstrate the utility of having correlated …more
Language used: English
Date on which the thesis was submitted / produced: 16. 12. 2021
Identifier:
https://is.muni.cz/th/nfix5/
Thesis defence
- Date of defence: 9. 2. 2022
- Supervisor: RNDr. Stanislav Špaček
- Reader: RNDr. Martin Husák, Ph.D.
Citation record
Full text of thesis
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Applied Informatics / Applied Informatics