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Anomaly detection in wireless sensor networks in a non-stationary environment

Oreilly, Colin, Gluhak, Alexander, Imran, Muhammad A and Rajasegarar, Sutharshan 2014, Anomaly detection in wireless sensor networks in a non-stationary environment, IEEE communications surveys and tutorials, vol. 16, no. 3, pp. 1413-1432, doi: 10.1109/SURV.2013.112813.00168.

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Title Anomaly detection in wireless sensor networks in a non-stationary environment
Author(s) Oreilly, Colin
Gluhak, Alexander
Imran, Muhammad A
Rajasegarar, Sutharshan
Journal name IEEE communications surveys and tutorials
Volume number 16
Issue number 3
Start page 1413
End page 1432
Total pages 20
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2014-01-14
ISSN 1553-877X
Keyword(s) Wireless sensor networks
anomaly detection
outlier detection
non-stationary
concept drift
distributed computing
Summary 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 WSN is that the data distribution may alter over the lifetime of the network due to the changing nature of the phenomenon being observed. Anomaly detection techniques must be able to adapt to a non-stationary data distribution in order to perform optimally. In this survey, we provide a comprehensive overview of approaches to anomaly detection in a WSN and their operation in a non-stationary environment.
Language eng
DOI 10.1109/SURV.2013.112813.00168
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, IEEE.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089200

Document type: Journal Article
Collection: School of Information Technology
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Scopus Citation Count Cited 13 times in Scopus
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