AN ENSEMBLED NETWORK INTRUSION DETECTION SYSTEM USING AUTOENCODER TO RESOLVE DATA IMBALANCE

Abstract: A Network intrusion detection system (NIDS) is a security technology that monitors network traffic for suspicious activity and alerts administrators or security personnel when potential threats are detected. The primary goal of a NIDS is to identify and respond to malicious activities such as unauthorized access, data theft, and other cyber-attacks. NIDS can be implemented using a variety of techniques, including signature-based detection, anomaly detection, and machine learning. By analysing network traffic in real-time, NIDS can provide an effective defence against cyber threats and help organizations protect their valuable assets from unauthorized access and data breaches. This abstract provides an overview of NIDS and its importance in network security.

Keywords: Autoencoder, Machine Learning, Ensemble Model