Title
Scalable network intrusion detection on virtual SDN environment
Abstract
We propose a scalable intrusion detection system (IDS) architecture on a software-defined networking (SDN) environment implemented using a virtualization infrastructure called a Kernel-based Virtual Machine (KVM). In this virtual environment, virtual machines running IDSs, the SDN controller, and network attack software are connected with each other through OpenFlow-enabled software switches. This paper focuses on distributed traffic sampling at network switches for malicious traffic inspection. The network topology and the IDS configuration are visualized through a web graphical user interface.
Year
DOI
Venue
2014
10.1109/CloudNet.2014.6969003
CloudNet
Keywords
DocType
ISSN
Web graphical user interface,software-defined networking,KVM,security,virtualization infrastructure,intrusion detection system,scalable network intrusion detection,Software defined networking,virtual machines,OpenFlow-enabled software switches,kernel-based virtual machine,virtual SDN environment,software architecture,malicious traffic inspection,virtualisation,Internet,graphical user interfaces,IDS architecture,distributed traffic sampling,security of data
Conference
2374-3239
Citations 
PageRank 
References 
7
0.58
0
Authors
5
Name
Order
Citations
PageRank
Chiwook Jeong1202.00
Taejin Ha215017.16
Jargalsaikhan Narantuya3202.65
Hyuk Lim467351.93
Jongwon Kim51042153.38