Title
Attacking Network Isolation in Software-Defined Networks: New Attacks and Countermeasures
Abstract
With the development of virtualization technology and fast expansion of network-scale, SDN has been employed in various cases from campus networks to cloud data center networks. However, SDN networks are also facing some new security issues, relative to the traditional networks. In this work, we demonstrate a novel network isolation attack in SDN networks, called Network Harvesting, that lets an attacker can access to the user's network privileges without the awareness of victim and OpenFlow SDN architecture, which significantly increases persistence. We then present a defense, SpoofDefender, that prevents network isolation attacks or other spoofing attacks by leveraging SDN's data and control plane separation, global network view, and programmatic control of the network, while building upon IEEE 802.1x and encryption. In addition, we also implement SpoofDefender on ONOS 1.10.4 and Mininet with a real network, and extensive simulation results demonstrate that our proposed SpoofDefender is highly effective in terms of computation and communication costs.
Year
DOI
Venue
2018
10.1109/ICCCN.2018.8487340
2018 27th International Conference on Computer Communication and Networks (ICCCN)
Keywords
Field
DocType
network harvesting,global network view,control plane separation,spoofing attacks,network isolation attacks,OpenFlow SDN architecture,SDN networks,cloud data center networks,campus networks,network-scale,software-defined networks
Virtualization,Global network,Spoofing attack,Computer science,Computer network,Encryption,OpenFlow,Control system,Software-defined networking,Cloud computing
Conference
ISSN
ISBN
Citations 
1095-2055
978-1-5386-5157-5
1
PageRank 
References 
Authors
0.35
16
6
Name
Order
Citations
PageRank
Rui Xiao18110.87
Hui Zhu28317.00
Chao Song310015.52
Ximeng Liu413531.84
Jian Dong510.68
Hui Li620234.25