Open AccessSoftware Defined Networking Based Protection against DDOS in IoT
Author(s) -
P. J. Beslin Pajila,
P. Jenifer,
Karpagavalli C.*,
Angeline Valentina Sweety A.,
Muthu Lakshmi. R
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2521.039520
Subject(s) - denial of service attack , computer science , internet of things , network packet , reliability (semiconductor) , software , computer network , computer security , application layer ddos attack , identification (biology) , the internet , world wide web , operating system , power (physics) , physics , botany , quantum mechanics , biology
Safety has become enormously important with the proliferation of internet of Things(IoT) technologies. Most of the IoT devices are linked with the DDoS attack, there are many risk nowadays for IoT because of DDoS attack.The new software-defined everything(SDx) model offers a way to handle IoT devices securely. The proposed S-IOT framework consists of a pool that includes S-IoT controllers, S-IoT switches and IoT devices. A new ENeFS algorithm is proposed to identify and reduce the DDoS attack. The proposed algorithm uses neuro fuzzy instruct rule to identify the DDoS attack and the number of data packets count also considered for the identification. The simulation results shows that the proposed algorithm performs better to improve the reliability of the IoT with different and unsafe gadgets.