Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection

Femi Emmanuel Ayo, Sakinat Oluwabukonla Folorunso, Adebayo Abayomi-Alli, Adebola Olayinka Adekunle, Joseph Bamidele Awotunde

Abstract: Network Intrusion Detection System (NIDS) is often used to classify network traffic in an attempt to protect computer systems from various network attacks. A major component for building an efficie...