Over the past decade, blockchain technology has attracted a huge attention from both
industry and academia because it can be integrated with a large number of everyday …

Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …

The fourth industrial revolution is marked by the rapid growth of Internet of Things (IoT)
technology, leading to an increase in the number of IoT devices. Unfortunately, this also …

Nowadays, intrusion detection systems based on deep learning deliver state-of-the-art
performance. However, recent research has shown that specially crafted perturbations …

Abstract The Internet of Things (IoT), as the information carrier of the Internet and
telecommunications networks, is a new network technology comprising physical entities …

Anomalous data are such data that deviate from a large number of normal data points, which
often have negative impacts on various systems. Current anomaly detection technology …

Internet of Things (IoT) devices have been widely used in many fields, bringing many
conveniences to people's life. With the massive deployment and application of IoT devices …

Current flow-based Network Intrusion Detection Systems (NIDSs) have the drawback of
detecting attacks only once the flow has ended, resulting in potential delays in attack …

The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

Intrusion detection ensures that IoT can protect itself against malicious intrusions in
extensive and intricate network traffic data. In recent years, deep learning has been …