Software defined network detection system

Abstract

The ongoing increase in the use of wireless Internet and smartphones has resulted in changing consumer patterns, which has changed the demand for network usage such that existing hardware-centric devices cannot satisfy this demand. One of the fastest growing technologies is software define network, which can solve this problem. An intrusion detection system is a system that detects and responds to network attacks in real time in a network environment based on software define network. The focus of this paper is to present a deep learning-based network detection system. We describe pre-processing for deep learning algorithms and propose an architecture of the detection system. The analysis results of the system are also described.