Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

Wireless Sensor Networking is one of the most promising technologies that have
applications ranging from health care to tactical military. Although Wireless Sensor Networks …

Automatic detection and localization of anomalies in nanofibrous materials help to reduce
the cost of the production process and the time of the post-production visual inspection …

In the field of wireless sensor networks, those measurements that significantly deviate from
the normal pattern of sensed data are considered as outliers. The potential sources of …

The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …

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

To address the problem of unsupervised outlier detection in wireless sensor networks, we
develop an approach that (1) is flexible with respect to the outlier definition,(2) computes the …

Over the past few years, wireless sensor networks have gained significant attention. They
have been distributed in the real world in order to collect valuable raw sensed data. Due to …

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

The field of wireless sensor networks (WSNs), embedded systems with sensing and
networking capability, has now matured after a decade-long research effort and …