Tytuł:

Intrusion Detection in Software De ned Networks with Self-organized Maps, Journal of Telecommunications and Information Technology, 2015, nr 4

Autor:

Amanowicz, Marek ; Jankowski, Damian

Temat i słowa kluczowe:

machine learning ; network simulation ; network security ; virtualization ; IDS dataset ; metasploit ; open flow

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.

Wydawca:

National Institute of Telecommunications

Data wydania:

2015, nr 4

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności