Network anomaly detection for cybersecurity
Piette, Elias
Promotor(s) : Mathy, Laurent
Date of defense : 5-Sep-2024/6-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21155
Details
Title : | Network anomaly detection for cybersecurity |
Author : | Piette, Elias |
Date of defense : | 5-Sep-2024/6-Sep-2024 |
Advisor(s) : | Mathy, Laurent |
Committee's member(s) : | Donnet, Benoît
Boigelot, Bernard |
Language : | English |
Number of pages : | 61 |
Discipline(s) : | Engineering, computing & technology > Computer science |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master : ingénieur civil en informatique, à finalité spécialisée en "computer systems security" |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[fr] In the context of using computers with single or multiple network interfaces as networking devices, and the deployment of BPF as an in-kernel programmable virtual computer, this master's thesis focuses on the development of a network anomaly detection tool using BPF for traffic monitoring.
More specifically, it examines the various methods of traffic monitoring on networking devices with BPF and evaluates the performance of these methods through experimentation on actual devices. Based on the results of these experiments, an architecture of a network intrusion detection tool is then proposed.
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.