Mitigating DDoS Attacks Using OpenFlow-Based Software Defined Networking

Abstract : Over the last years, Distributed Denial-of-Service (DDoS) attacks have become an increasing threat on the Internet, with recent attacks reaching traffic volumes of up to 500 Gbps. To make matters worse, web-based facilities that offer “DDoS-as-a-service” (i.e., Booters) allow for the layman to launch attacks in the order of tens of Gbps in exchange for only a few euros. A recent development in networking is the principle of Software Defined Networking (SDN), and related technologies such as OpenFlow. In SDN, the control plane and data plane of the network are decoupled. This has several advantages, such as centralized control over forwarding decisions, dynamic updating of forwarding rules, and easier and more flexible network configuration. Given these advantages, we expect SDN to be well-suited for DDoS attack mitigation. Typical mitigation solutions, however, are not built using SDN. In this paper we propose to design and to develop an OpenFlow-based mitigation architecture for DDoS attacks. The research involves looking at the applicability of OpenFlow, as well as studying existing solutions built on other technologies. The research is as yet in its beginning phase and will contribute towards a Ph.D. thesis after four years.
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01410159
Contributor : Hal Ifip <>
Submitted on : Tuesday, December 6, 2016 - 2:45:37 PM
Last modification on : Tuesday, December 6, 2016 - 2:54:41 PM
Long-term archiving on : Tuesday, March 21, 2017 - 12:16:11 AM

File

978-3-319-20034-7_13_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Mattijs Jonker, Anna Sperotto. Mitigating DDoS Attacks Using OpenFlow-Based Software Defined Networking. 9th Autonomous Infrastructure, Management, and Security (AIMS), Jun 2015, Ghent, Belgium. pp.129-133, ⟨10.1007/978-3-319-20034-7_13⟩. ⟨hal-01410159⟩

Share

Metrics

Record views

50

Files downloads

86