Anomaly detection has gained considerable attention in the past couple of years. Emerging
technologies, such as the Internet of Things (IoT), are known to be among the most critical …

With the Internet of Things (IoT) devices becoming an integral part of human life, the need for
robust anomaly detection in streaming data has also been elevated. Dozens of distance …

Intrusion detection exerts a crucial influence on securing the IIoT driven by anomaly
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …

The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

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 …

Online anomaly detection is a key challenge for industrial internet of things (IIoT)
applications, as anomalies may occur in data streams from sensors and cause losses or …

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 …

With the rapid development of ambient intelligence (AmI) in the Internet of Things (IoT),
many data streams are generated from sensing devices in intelligent scenarios. Due to the …

Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …

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 …