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Pattern-based Method for Anomaly Detection in Sensor Networks

Ben Kraiem, Inès and Ghozzi, Faiza and Péninou, André and Teste, Olivier Pattern-based Method for Anomaly Detection in Sensor Networks. (2019) In: 21st International Conference on Enterprise Information Systems (ICEIS 2019), 3 May 2019 - 5 May 2019 (Heraklion, Crète, Greece).

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Official URL: https://doi.org/10.5220/0007736701040113

Abstract

The detection of anomalies in real fluid distribution applications is a difficult task, especially, when we seek to accurately detect different types of anomalies and possible sensor failures. Resolving this problem is increasingly important in building management and supervision applications for analysis and supervision. In this paper we introduce CoRP ”Composition of Remarkable Points” a configurable approach based on pattern modelling, for the simultaneous detection of multiple anomalies. CoRP evaluates a set of patterns that are defined by users, in order to tag the remarkable points using labels, then detects among them the anomalies by composition of labels. By comparing with literature algorithms, our approach appears more robust and accurate to detect all types of anomalies observed in real deployments. Our experiments are based on real world data and data from the literature.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to SCITEPRESS (Science and Technology Publications) editor. The definitive version is available at http://www.scitepress.org This papers appears in Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS ISBN: 978-989-758-372-8 The original PDF is available at: https://www.scitepress.org/PublicationsDetail.aspx?ID=Xflb1bYqMAk=&t=1
HAL Id:hal-02493876
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
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Deposited On:10 Feb 2020 15:36

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