In the face of escalating intricacy and heterogeneity within Internet of Things (IoT) network
landscapes, the imperative for adept intrusion detection techniques has never been more …

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 …

Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion
detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …

The proliferation of Internet of Things (IoTs) technology is being seriously impeded by
insecure networks and data. An effective intrusion detection model is essential for …

Abstract In the Information and Communication Technology age, connected objects
generate massive amounts of data traffic, which enables data analysis to uncover previously …

The rapid expansion of Internet of Things (IoT) devices across various sectors is driven by
steadily increasing demands for interconnected and smart technologies. Nevertheless, the …

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 …

Intrusions in computer networks have increased significantly in recent times and network
security mechanisms are not being developed at the same pace at which intrusion attacks …

Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …