This diploma thesis describes several selected network attacks detection method using statistical models with NetFlow data. First are described several well known and threats for computer networks, which are easily detectable in the NetFlow data. Thesis also introduce and present the NetFlow technology including its protocol and architecture. The theoretical part of the thesis describes statistical methods with focus on the ASTUTE method, that can be used for an anomaly detection. Following part introduces tools used for method implementation as the NfSen plugins. Last parts of the thesis describe in detail implementation of the plugins and following plugins testing which included simulated network attacks.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:236589 |
| Date | January 2012 |
| Creators | Čegan, Jakub |
| Contributors | Košař, Vlastimil, Novotňák, Jiří |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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