Various attacks have emerged as the major threats to the success of a connected world like
the Internet of Things (IoT), in which billions of devices interact with each other to facilitate …

Network intrusion detection is a key pillar towards the sustainability and normal operation of
information systems. Complex threat patterns and malicious actors are able to cause severe …

As widely known, most of the Internet of Things (IoT) devices own small storage and
constrained computing power, and hence, their poor security evaluation capabilities make …

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 …

This paper looks into the problem of detecting network anomalies by analyzing NetFlow
records. While many previous works have used statistical models and machine learning …

Anomaly detection systems can accurately identify malicious network traffic, providing
network security. With the development of internet technology, network attacks are becoming …

The Network Intrusion Detection Systems (NIDS) with machine learning in SDN become
increasingly popular solutions. NIDS uses abnormal traffic detection to identify unknown …

Network malicious traffic detection is one of the essential tasks of computer networks, which
has become an obstacle to network development as networks are expanding in size and …

With the rapid growth of network traffic and the increasing sophistication of cyberattacks,
detecting network traffic anomalies and intrusions in real-time is crucial for network security …

Network anomaly detection plays a crucial role as it provides an effective mechanism to
block or stop cyberattacks. With the recent advancement of Artificial Intelligence (AI), there …