As network attacks are constantly and dramatically evolving, demonstrating new patterns,
intelligent Network Intrusion Detection Systems (NIDS), using deep-learning techniques …

Abstract Network Intrusion Detection Systems (NIDSs) are increasingly crucial due to the
expansion of computer networks. Detection techniques based on machine learning have …

Network intrusion detection systems (NIDSs) play a crucial role in defending computer
networks. However, there are concerns regarding the feasibility and sustainability of current …

Deep learning (DL) techniques have recently been proposed for enhancing the accuracy of
network intrusion detection systems (NIDS). However, keeping the DL based detection …

Network intrusion detection is one of the most important components of mobile networks
security. In recent years, the application of neural networks has been very popular in …

With continuously escalating threats and attacks, accurate and timely intrusion detection in
communication networks is challenging. Many approaches have already been proposed …

Neural networks have become an increasingly popular solution for network intrusion
detection systems (NIDS). Their capability of learning complex patterns and behaviors make …

Network attack is a significant security issue for modern society. From small mobile devices
to large cloud platforms, almost all computing products, used in our daily life, are networked …

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

The rapid growth of network-related services in the last decade has produced a huge
amount of sensitive data on the internet. But networks are very much prone to intrusions …