Paper Title
An Efficient Network Intrusion Detection and Classification System

Abstract – Intrusion detection in computer networks is of great importance because of its effects on the different communication and security domains. The detection of network intrusion is a challenge. Moreover, network intrusion detection remains a challenging task as a massive amount of data is required to train the state-of-the-art machine learning models to detect network intrusion threats. Many approaches have already been proposed recently on network intrusion detection. Keywords - Network Intrusion Detection System (NIDS); Software Defined Network (SDN); NSL-KDD; Machine Learning; Feature Scaling, AdaBoost