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

The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …

In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

Internet of Things (IoT) has been thriving in recent years, playing an important role in a
multitude of various domains, including industry 4.0, smart transportation, home automation …

In recent years, the Internet of Things (IoT) has received a lot of attention. It has been used in
many applications such as the control industry, industrial plants, and medicine. In this …

Network intrusion poses a severe threat to the Internet. Intrusion detection methods based
on deep learning are very effective to process and analyze intrusion data. On the one hand …

The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

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 …

In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …

In the rapidly evolving landscape of the Internet of Things (IoT), ensuring robust intrusion
detection is paramount for device and data security. This paper proposes a novel method for …