- Tytuł:
- Intrusion Detection in Software Defined Networks with Self-organized Maps
- Autorzy:
-
Jankowski, D.
Amanowicz, M. - Powiązania:
- https://bibliotekanauki.pl/articles/308109.pdf
- Data publikacji:
- 2015
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
IDS dataset
machine learning
metasploit
network security
network simulation
OpenFlow
virtualization - Opis:
- The Software Defined Network (SDN) architecture provides new opportunities to implement security mechanisms in terms of unauthorized activities detection. At the same time, there are certain risks associated with this technology. The presented approach covers a conception of the measurement method, virtual testbed and classification mechanism for SDNs. The paper presents a measurement method which allows collecting network traffic flow parameters, generated by a virtual SDN environment. The collected dataset can be used in machine learning methods to detect unauthorized activities.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2015, 4; 3-9
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł