Author : Omerah Yousuf 1
Date of Publication :2nd April 2021
Abstract: Internet of Things (IoT) is a forthcoming analysis field and is being thought to be the revolution within the world of communication as a result of its prominent applications in various fields. These networks are highly vulnerable to attacks due to their transparent and self-assimilation nature. As a consequence, security is the highest concern in this framework and requires new types of strategies to be developed to counter different types of attacks in IoT. The aim of a Denial of Service (DoS) attack is to make server services inaccessible to the intended user, and a DDoS attack occurs when multiple DoS attacks are present in a network. As distributed denial of service (DDoS) attacks become more popular on the Internet, solutions to combat them are in greater demand. In this paper, our strategy is to utilize OpenDaylight as an SDN controller to find DDoS attacks in IoT networks by applying the Support Vector Machine (SVM) approach. Here we tend to create a Software-defined Network (SDN), that consists of 20- Devices, 4-Open Flow switches, and an Open Flow controller (Opendaylight controller). The nodes/Devices are directly connected with switches. Our technique is to find DDoS assailant nodes victimization SVM by classifying the malicious and non- malicious data in the network. The detection rate for this SDN controller is remarkably very efficient as compared to the other SDN controllers.
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