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 …

In recent years, with the development of the Internet of Things (IoT) technology, a large
amount of data can be captured from sensors for real-time analysis. By monitoring the traffic …

Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …

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 …

Given the shortcomings of the existing anomaly detection methods based on IoT devices,
including insufficient feature extraction, poor model fitting effect and low accuracy, this paper …

As an emergent technology, the internet of things (IoT) aims to create an interconnected
world of smart devices autonomously communicating via the internet. Integrating …

Network operators need effective tools to quickly detect anomalies in traffic data for
identifying network attacks. In contrast to traditional Internet, anomaly detection in IoT …

The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

Network anomaly detection it is a major concern and challenging area nowadays although it
provides effective and efficient mechanism from different types of attack. To enhance the …