Intrusion Detection System with k-means data mining and outlier detection approach – Mgr. Sandeep Kumar Chandel
Mgr. Sandeep Kumar Chandel
Master's thesis
Intrusion Detection System with k-means data mining and outlier detection approach
Intrusion Detection System with k-means data mining and outlier detection approach
Abstract:
Intrusion detection system is a necessity of today's information security domain. It plays a vital role in detection of anomalous traffic in a network and alerts the network administrators to manage such traffic. The work presented in this thesis is an attempt to detect such traffic anomalies in the networks by generating and analyzing the traffic flow data. This IDS presented in this thesis implements …moreAbstract:
Intrusion detection system is a necessity of today's information security domain. It plays a vital role in detection of anomalous traffic in a network and alerts the network administrators to manage such traffic. The work presented in this thesis is an attempt to detect such traffic anomalies in the networks by generating and analyzing the traffic flow data. This IDS presented in this thesis implements …more
Language used: English
Date on which the thesis was submitted / produced: 22. 5. 2017
Identifier:
https://is.muni.cz/th/jgnvz/
Thesis defence
- Date of defence: 20. 6. 2017
- Supervisor: prof. RNDr. Václav Matyáš, M.Sc.
- Reader: RNDr. Marek Kumpošt, Ph.D.
Citation record
ISO 690-compliant citation record:
CHANDEL, Sandeep Kumar. \textit{Intrusion Detection System with k-means data mining and outlier detection approach}. Online. Master's thesis. Brno: Masaryk University, Faculty of Informatics. 2017. Available from: https://theses.cz/id/2v20gk/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Informatics / Information Technology Security (eng.)
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