Classification of Traffic in 5G Internet of Things Networks: A New Framework

Abstract

The organization formed by the connection established between computers, typically by cable, for the purpose of communicating and transmitting data is known as a network. A computer network is a collection of interconnected computers that allow for the sharing of resources including data, programs, and files. When people think of computer networks, they think of the Internet. In this paper, we proposed the usage of a new technique for the categorization of computer network traffic that is based on deep sparse autoencoders and k-nearest-neighbor (KNN) that has been optimized with Grid Search. The autoencoders took the input data and extracted high-level characteristics from it, then connected those features to the KNN. The KNN was used to divide the characteristics into three distinct kinds of assaults (normal and abnormal). In comparison to other investigations, the proposed approach demonstrated an accuracy of 98.23% in its results.