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 …

In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …

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

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 …

Software-Defined Networking (SDN) is the next generation to change the architecture of
traditional networks. SDN is one of the promising solutions to change the architecture of …

Cybersecurity is one of the great challenges of today's world. Rapid technological
development has allowed society to prosper and improve the quality of life and the world is …

Intrusion detection is the core topic of network security, and the intrusion detection algorithm
based on deep learning has become a research hotspot in network security. In this paper, a …

This work proposes an end-to-end model for network attack detection and network attack
classification using deep learning-based recurrent models. The proposed model extracts the …

A novel supervised machine learning system is developed to classify network traffic whether
it is malicious or benign. To find the best model considering detection success rate …

Intrusion detection system (IDS) is a preventing measure against different harmful cyber-
attacks. It has a key role in securing our information and communication technology system …