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

O'Reilly, C., Gluhak, A., Imran, M. A. and Rajasegarar, S. (2014) Anomaly detection in wireless sensor networks in a non-stationary environment. IEEE Communications Surveys and Tutorials, 16(3), pp. 1413-1432. (doi: 10.1109/SURV.2013.112813.00168)

Abstract

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.

• Item Type: Articles
• Additional Information: The authors acknowledge the support from the REDUCE project grant (No. EP/I000232/1) under the Digital Economy Programme run by Research Councils UK – A cross-council initiative led by EPSRC.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad
• Authors: O'Reilly, C., Gluhak, A., Imran, M. A., and Rajasegarar, S.
• College/School: College of Science and Engineering > School of Engineering
• Journal Name: IEEE Communications Surveys and Tutorials
• Publisher: IEEE
• ISSN: 1553-877X
• Published Online: 14 January 2014