With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

Network intrusion detection systems (NIDSs) are one of the main tools used to defend
against cyber-attacks. Deep learning has shown remarkable success in network intrusion …

Abstract Network Intrusion Detection (NID) is an important defense strategy in modern
networks to detect malicious activities in large-scale cyberspace. The current NID methods …

The need for Network Intrusion Detection systems has risen since usage of cloud
technologies has become mainstream. With the ever growing network traffic, Network …

With the frequent occurrence of cyber-security incidents, intrusion detection system (IDS)
has been payed more and more attention recently. However, detecting attacks from traffic …

With the rapid increase of human activities in cyberspace, various network intrusions are
tended to be frequent and hidden. Network intrusion detection (NID) has attracted more and …

One challenge for building a secure network communication environment is how to
effectively detect and prevent malicious network behaviours. The abnormal network …

Network intrusion detection system (NIDS) adoption is essential for mitigating computer
network attacks in various scenarios. However, the increasing complexity of computer …

The use of deep learning models for the network intrusion detection task has been an active
area of research in cybersecurity. Although several excellent surveys cover the growing …

In recent years, the scale of networks has substantially evolved due to the rapid
development of infrastructures in real networks. Under the circumstances, intrusion detection …