This thesis is meant to present the methods of cluster analysis, their use for detecting network traffic anomalies. It deals with various types of cyber attacks particularly DoS (DDoS) attacks. It contains a list of well-known DoS attacks. Also includes a program in Python, using the k-means method for detection of anomalous traffic.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:242075 |
| Date | January 2016 |
| Creators | Nagyová, Simona |
| Contributors | Martinásek, Zdeněk, Blažek, Petr |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních 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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