Investigating Parameters of Software Defined Networks
for Detecting DDoS Attacks
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Amey S. Gawde, Ameya K. Naik, Kiran V. Ajetrao
Volume:
10
Issue:
2
Grenze ID:
01.GIJET.10.2.649
Pages:
1907-1914
Abstract
In any communication network, for regular maintenance the service provider, needs
to manage individual device by login into the specific device. This can be avoided by using
Software Defined Networks which gives easy access and the facility of core network
management to service provider. This is achieved by separating Control and Data plane of the
hardware devices. Using SDN Controller managing the devices is simpler, but it is exposed to
attacks making the system vulnerable. The most prominent attacks for SDN are DDoS attack
and ARP Spoofing attack. Detecting these attacks at early stage is necessary for every
communication network. This paper focuses on designing a method to detect DDoS attack by
investigating various network parameters. It is observed that it is possible to detect DDoS
attack by monitoring specific parameters CPU process, CPU system, number packets, etc. An
effective mitigating strategy can be devised based on these parameters.