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 …

An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …

Early and effective network intrusion detection is deemed to be a critical basis for
cybersecurity domain. In the past decade, although a significant amount of work has focused …

With the continuous development of network technology, the diversity of network traffic
constantly increased (intra-class diversity). Nevertheless, the boundary between malicious …

Network intrusion detection plays an important role as tools for managing and identifying
potential threats, which presents various challenges. Redundant features and difficult …

Intrusion detection can identify unknown attacks from network traffics and has been an
effective means of network security. Nowadays, existing methods for network anomaly …

Traditional machine learning‐based intrusion detection often only considers a single
algorithm to identify intrusion data, lack of the flexibility method, low detection rate, no …

The network intrusion detection system is an important tool for protecting computer networks
against threats and malicious attacks. Many techniques have recently been proposed; …

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 …

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