… Anomaly detection is concerned with identifying data … employed to detect anomalies in the
specific area of sensor systems, … context of developing a framework for anomaly detection and …

… One of the major challenges for such environmental sensing systems is ensuring the data …
anomaly detection framework (ADF) for large-scale, real-world environmental sensing systems…

… targets of a monitoring and anomaly detection framework. Then we discuss these principles
… approach to design a monitoring and anomaly detection framework for SoSs aggregating i) …

… Even though methods exist for anomaly detection, there are still some challenges in the …
to anomaly detection. The first hurdle in anomaly detection is in evaluating the anomalies and …

… In this work, we formulate the problem of anomaly detection in sensor systems as an instance
of the problem of … We now describe in detail our SSA-based anomaly detection framework. …

… outlier detection, six categories of detection methods are elaborated. For pattern anomaly
detection… existing approaches to outlier detection and pattern anomaly detection for time series…

… from wearable motion sensors and the associated locational context, this paper presents a
coherent anomaly detection framework to effectively detect different behavioral anomalies in …

… framework that can make future investigations in this research field easier, coherent, and
uniform. Then, in the context of anomaly detection … Here, data coming from sensors and social …

… Meratnia, and PJM Havinga, ‘‘Distributed online outlier detection in wireless sensor
networks using ellipsoidal support vector machine,’’ Ad Hoc Netw., vol. 11, no. 3, pp. …

… a flexible anomaly detection framework for monitoring anomalous … techniques that detect and
classify anomalous behaviours … work, their framework consists of sensor fault detection, and …