Wireless Sensor Networks (WSNs) are important and necessary platforms for the future as
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …

Since security threats to WSNs are increasingly being diversified and deliberate, prevention-
based techniques alone can no longer provide WSNs with adequate security. However …

Wireless sensor networks (WSNs) are important platforms for collecting environmental data
and monitoring phenomena. Anomalies caused by hardware and software errors, unusual …

Limited resources and harsh deployment environments may cause raw observations
collected by sensor nodes to have poor data quality and reliability, which will influence the …

Anomaly detection in wireless sensor networks is an important challenge for tasks such as
fault diagnosis, intrusion detection, and monitoring applications. The algorithms developed …

Anomaly detection in a WSN is an important aspect of data analysis in order to identify data
items that significantly differ from normal data. A characteristic of the data generated by a …

Wireless sensor networks (WSNs) are increasingly used as platforms for collecting data from
unattended environments and monitoring important events in phenomena. However, sensor …

Anomaly detection in wireless sensor networks (WSNs) is critical to ensure the quality of
senor data, secure monitoring, and reliable detection of interesting and critical events. The …

Anomaly detection aims to identify rare events that deviate remarkably from existing data. To
satisfy real-world appli-cations, various anomaly detection technologies have been …

Abstract Wireless Sensor Networks (WSNs) can experience problems (anomalies) during
deployment, due to dynamic environmental factors or node hardware and software failures …