As cyberattacks become more intelligent, it is challenging to detect advanced attacks in a
variety of fields including industry, national defense, and healthcare. Traditional intrusion …

In recent years, machine learning-based intrusion detection systems (IDSs) have proven to
be effective; especially, deep neural networks improve the detection rates of intrusion …

The prevention of intrusion is deemed to be a cornerstone of network security. Although
excessive work has been introduced on network intrusion detection in the last decade …

In traditional internet systems, intrusion detection is an effective way to ensure network
security. However, due to the problem of computing resources, complex intrusion detection …

Networks are always vulnerable to unwanted access. Network intrusion detection aims to
detect these intruders. Machine learning is a technique that can provide scalable tools to …