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LineSwitch: Tackling Control Plane Saturation Attacks in Software-Defined Networking.

Authors :
Ambrosin, Moreno
Conti, Mauro
De Gaspari, Fabio
Poovendran, Radha
Source :
IEEE/ACM Transactions on Networking; Apr2017, Vol. 25 Issue 2, p1206-1219, 14p
Publication Year :
2017

Abstract

Software defined networking (SDN) is a new networking paradigm that in recent years has revolutionized network architectures. At its core, SDN separates the data plane, which provides data forwarding functionalities, and the control plane, which implements the network control logic. The separation of these two components provides a virtually centralized point of control in the network, and at the same time abstracts the complexity of the underlying physical infrastructure. Unfortunately, while promising, the SDN approach also introduces new attacks and vulnerabilities. Indeed, previous research shows that, under certain traffic conditions, the required communication between the control and data plane can result in a bottleneck. An attacker can exploit this limitation to mount a new, network-wide, type of denial of service attack, known as the control plane saturation attack. This paper presents LineSwitch, an efficient and effective data plane solution to tackle the control plane saturation attack. LineSwitch employs probabilistic proxying and blacklisting of network traffic to prevent the attack from reaching the control plane, and thus preserve network functionality. We implemented LineSwitch as an extension of the reference SDN implementation, OpenFlow, and run a thorough set of experiments under different traffic and attack scenarios. We compared LineSwitch to the state of the art, and we show that it provides at the same time, the same level of protection against the control plane saturation attack, and a reduced time overhead by up to 30%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10636692
Volume :
25
Issue :
2
Database :
Complementary Index
Journal :
IEEE/ACM Transactions on Networking
Publication Type :
Academic Journal
Accession number :
122577500
Full Text :
https://doi.org/10.1109/TNET.2016.2626287