Thesis Details

Detekce volumetrických útoků DoS a DDoS v reálném čase na L3 síťové vrstvě

Bachelor's Thesis Student: Škápik Anton Academic Year: 2017/2018 Supervisor: Holkovič Martin, Ing.
English title
Detection of Volumetric DoS and DDoS Attacks in Real Time on the L3 Network Layer
Language
Czech
Abstract

This bachelor thesis explores and implements capabilities of real-time DoS and DDoS detection. Leveraging NetFlow stream processing tool, the resulting product provides the ability to detect attacks within a few seconds and create rules to mitigate the attack. The rules are converted from an form of records into a flowspec filter that is distributed by BGP between the routers in the monitored network. The program was implemented and tested. The work is written in collaboration with Flowmon Networks a.s., using their proprietary applications for NetFlow record processing.

Keywords

DoS, DDoS, computer network, BGP, ExaBGP, Flowspec, NetFlow, IPFIX, Flowmon, RRDtool, Flow, xfcapd

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
12 June 2018
Reviewer
Grégr Matěj, Ing., Ph.D.
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kovár Martin, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Šátek Václav, Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŠKÁPIK, Anton. Detekce volumetrických útoků DoS a DDoS v reálném čase na L3 síťové vrstvě. Brno, 2018. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2018-06-12. Supervised by Holkovič Martin. Available from: https://www.fit.vut.cz/study/thesis/21172/
BibTeX 
@bachelorsthesis{FITBT21172,
    author = "Anton \v{S}k\'{a}pik",
    type = "Bachelor's thesis",
    title = "Detekce volumetrick\'{y}ch \'{u}tok\r{u} DoS a DDoS v re\'{a}ln\'{e}m \v{c}ase na L3 s\'{i}\v{t}ov\'{e} vrstv\v{e}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2018,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21172/"
}

Theses

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