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We introduce an anomaly detection framework for wireless sensor networks able to detect statistically significant temporal or spatial changes in either the underlying process the sensor network is monitoring or the network operation itself. We consider a series of Markov models to characterize the behavior of the sensor network, including tree-indexed Markov chains which can model its spatial structure...
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