Highly efficient distance-based anomaly detection through univariate with PCA in wireless sensor networks

Highly efficient distance-based anomaly detection through univariate with PCA in wireless sensor networks

Unsupervised anomaly detection (UAD) techniques have received increasing attention in wireless sensor networks (WSNs). However, the high dimensional training data often make sensor nodes unable to sustain in computation, and result in quite expensive communication overhead. The feature reduction tec...

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Bibliographic Details
Main Authors: Xie, Miao, Han, Song, Tian, Biming
Other Authors: Yi Mu
Format: Conference Paper
Published: IEEE 2011
Subjects:
anomaly detection
feature reduction
wireless sensor networks
Online Access:http://hdl.handle.net/20.500.11937/25234

Internet

http://hdl.handle.net/20.500.11937/25234

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