Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
This article describes a distributed hyperspherical cluster based algorithm for identifying
anomalies in measurements from a wireless sensor network, and an implementation on a …
anomalies in measurements from a wireless sensor network, and an implementation on a …
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks
Anomaly detection in wireless sensor networks is an important challenge for tasks such as
intrusion detection and monitoring applications. This paper proposes two approaches to …
intrusion detection and monitoring applications. This paper proposes two approaches to …
Anomaly detection by clustering ellipsoids in wireless sensor networks
A major challenge for the management of low-cost sensor networks is how to ensure the
integrity of the data collected, and how to detect unusual events. In this paper, we present a …
integrity of the data collected, and how to detect unusual events. In this paper, we present a …
Quarter sphere based distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie… - 2007 IEEE …, 2007 - ieeexplore.ieee.org
Anomaly detection is an important challenge for tasks such as fault diagnosis and intrusion
detection in energy constrained wireless sensor networks. A key problem is how to minimise …
detection in energy constrained wireless sensor networks. A key problem is how to minimise …
Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks
Anomaly detection in resource constrained wireless networks is an important challenge for
tasks such as intrusion detection, quality assurance and event monitoring applications. The …
tasks such as intrusion detection, quality assurance and event monitoring applications. The …
Distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie… - 2006 10th IEEE …, 2006 - ieeexplore.ieee.org
Identifying misbehaviors is an important challenge for monitoring, fault diagnosis and
intrusion detection in wireless sensor networks. A key problem is how to minimize the …
intrusion detection in wireless sensor networks. A key problem is how to minimize the …
[HTML][HTML] Spatial anomaly detection in sensor networks using neighborhood information
The field of wireless sensor networks (WSNs), embedded systems with sensing and
networking capability, has now matured after a decade-long research effort and …
networking capability, has now matured after a decade-long research effort and …
Distributed anomaly detection for industrial wireless sensor networks based on fuzzy data modelling
Modern infrastructure increasingly depends on large computerized systems for their reliable
operation. Supervisory Control and Data Acquisition (SCADA) systems are being deployed …
operation. Supervisory Control and Data Acquisition (SCADA) systems are being deployed …
Scalable hypergrid k-NN-based online anomaly detection in wireless sensor networks
Online anomaly detection (AD) is an important technique for monitoring wireless sensor
networks (WSNs), which protects WSNs from cyberattacks and random faults. As a scalable …
networks (WSNs), which protects WSNs from cyberattacks and random faults. As a scalable …
Segment-based anomaly detection with approximated sample covariance matrix in wireless sensor networks
In wireless sensor networks (WSNs), it has been observed that most abnormal events persist
over a considerable period of time instead of being transient. As existing anomaly detection …
over a considerable period of time instead of being transient. As existing anomaly detection …