The Internet of Things establishes the intimacy between the Internet and the physical world.
Due to portable size, most IoT devices have limited computing and storage capabilities and …

Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …

Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …

Anomaly detection is a critical aspect of various applications, including security, healthcare,
and network monitoring. In this study, we introduce FusionNet, an innovative ensemble …

The proliferation and variety of Internet of Things devices means that they have increasingly
become a viable target for malicious users. This has created a need for anomaly detection …

The internet of things (IoT) is the networking of interrelated devices and sensors connected
through the internet to transfer and share data. The data gathered from these devices may …

The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …

The era of the Internet of Things (IoT) is now. Wide-spread adoption of this technology has
transformed the way the world, people, and businesses are connected. However, with the …

Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

The identification of anomalies has become increasingly important for the security of sensory
data gathering in the intelligent Internet of Things (iIoT). The current approaches might not …