Machine Learning Model for classification of IoT Network Traffic

Abstract

In today's world, it becomes very important to improve network security as well as the quality of service (QoS). Internets of Things (IoT) with machine learning techniques are used to provide services to users with a classification of the network traffic. So it is very important to separate malicious traffic from normal traffic. After detecting malicious traffic it has to be blocked and forwarded the normal traffic to the specified nodes for serving the users requirements. Here, presents machine learning algorithms for classifying the network traffic, for controlling the congestion in the network.