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