The security of IoT networks is becoming increasingly challenging, and anomaly detection
for IoT network traffic is a critical technique for addressing this issue. However, extracting …

In this paper we propose a two-level hybrid anomalous activity detection model for intrusion
detection in IoT networks. The level-1 model uses flow-based anomaly detection, which is …

The significant increase of the Internet of Things (IoT) devices in smart homes and other
smart infrastructure, and the recent attacks on these IoT devices, are motivating factors to …

The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has
provided us with unprecedented productivity and simplified our daily life. At the same time …

Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …

The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

In recent times, the number of Internet of Things (IoT) devices and the applications
developed for these devices has increased; as a result, these IoT devices are targeted by …

With an increasing number of network devices, the need for a robust intrusion detection
system is also increasing for ensuring ubiquitous and secure Internet of Things (IoT) network …

With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …

The Internet of Things (IoT) supports human endeavors by creating smart environments.
Although the IoT has enabled many human comforts and enhanced business opportunities …