Algorithm for temporal anomaly detection in WSNs

Alia Ghaddar 1, 2 Tahiry Razafindralambo 2 Isabelle Simplot-Ryl 2 Samar Tawbi 1 Abbas Hijazi 1
2 POPS - System and Networking for Portable Objects Proved to be Safe
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, IRCICA
Abstract : Knowledge discovery and data analysis in resource constrained wireless sensor networks faces different challenges. One of the main challenges is to identify misbehaviors or anomalies with high accuracy while minimizing energy consumption in the network. In this paper, we extend a previous work of us and we present an algorithm for temporal anomalies detection in wireless sensor networks. Our experiments results show that our algorithm can efficiently and accurately detect anomalies in sensor measurements. It also pro- duces low false alarm rate for slow variation time series measurements without harvesting the source of energy.
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Conference papers
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https://hal.inria.fr/inria-00569111
Contributor : Isabelle Simplot-Ryl <>
Submitted on : Thursday, February 24, 2011 - 11:57:42 AM
Last modification on : Thursday, February 21, 2019 - 10:52:49 AM

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  • HAL Id : inria-00569111, version 1

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Alia Ghaddar, Tahiry Razafindralambo, Isabelle Simplot-Ryl, Samar Tawbi, Abbas Hijazi. Algorithm for temporal anomaly detection in WSNs. Proc. IEEE Wireless Communications \& Networking Conference (WCNC 2011), 2011, Cancun, Mexico. ⟨inria-00569111⟩

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