Statistical Based Outlier Detection in Data Aggregation for Wireless Sensor Networks

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Provided by: Journal of Theoretical and Applied Information Technology
Topic: Security
Format: PDF
Inconsistent data caused by compromised nodes in Wireless Sensor Networks (WSNs) can be detached to improve data reliability, accuracy and to make effective and correct decisions. Multivariate outliers normally describe the data behavior abnormality. Data aggregation is frequently used for the reduction of communication overhead and energy expenditure of sensor nodes during the process of data collection in wireless sensor networks and also to improve the lifetime of the WSN. For the delivery of accuracy in base station, the outlier detection protocol must be incorporated with secure data aggregation.
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