With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …

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 …

With an ever increasing number of connected devices, network intrusion detection is more
important than ever. Over the past few decades, several datasets were created to address …

The prevalence of internet usage leads to diverse internet traffic, which may contain
information about various types of internet attacks. In recent years, many researchers have …

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 …

In this review, significant literature surveys on machine learning (ML) and deep learning
(DL) techniques for network analysis of intrusion detection are explained. In addition, it …

The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …

With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

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 …

With exponential growth in the size of computer networks and developed applications, the
significant increasing of the potential damage that can be caused by launching attacks is …