Combining CNN and LSTM for Effective Network Intrusion Detection: A Hybrid Deep Learning Approach

Abstract

Network Intrusion Detection Systems (NIDS) are a crucial component of cybersecurity
infrastructure, tasked with identifying malicious activities and intrusions in network traffic. As
cyberattacks become more sophisticated and difficult to detect, traditional machine learning
techniques for intrusion detection are often inadequate.