Recently, Convolutional neural network (CNN) architectures in deep learning have achieved
significant results in the field of computer vision. To transform this performance toward the …

In practice, Defenders need a more efficient network detection approach which has the
advantages of quick-responding learning capability of new network behavioural features for …

Network intrusion detection system (NIDS) is a tool used to detect and classify the network
breaches dynamically in information and communication technologies (ICT) systems in both …

Recently, deep learning has gained prominence due to the potential it portends for machine
learning. For this reason, deep learning techniques have been applied in many fields, such …

In the last decades, due to the improvements in networking techniques and the increased
use of the Internet, the digital communications entered all of the activities in the global …

Intrusion detection system (IDS) has become an essential layer in all the latest ICT system
due to an urge towards cyber safety in the day-to-day world. Reasons including uncertainty …

Network intrusion detection system (NIDS) plays an important role in network security. It can
detect the malicious traffic and prevent the network intrusion. Traditional methods used …

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

Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …

With the continuous development of computer network technology, security problems in the
network are emerging one after another, and it is becoming more and more difficult to …