A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …

To solve the problem of low accuracy and high false‐alarm rate of existing intrusion
detection models for multiple classifications of intrusion behaviors, a network intrusion …

Intrusion detection system (IDS) plays an important role in network security by discovering
and preventing malicious activities. Due to the complex and time-varying network …

With an increase in the number and types of network attacks, traditional firewalls and data
encryption methods can no longer meet the needs of current network security. As a result …

Network traffic has recently known tremendous growth, and it is set to explode over the next
few years. Alongside the increase in traffic, network attacks have become more complex …

There's been a series of datasets with regards to network intrusion detection in recent years,
and a significant number of studies has also been carried out using these datasets. In this …

Abstract Network Intrusion Detection System (NIDS) is a key security device in modern
networks to detect malicious activities. However, the problem of imbalanced class …

Network intrusion detection is an important component of network security. Currently, the
popular detection technology used the traditional machine learning algorithms to train the …

With the increment of cyber traffic, there is a growing demand for cyber security. How to
accurately detect cyber intrusions is the hotspot of recent research. Traditional Intrusion …

With the increasing frequency, severity and complexity of recent cyber attacks around the
world, network intrusion detection has become mandatory and highly sophisticated task …