Scoring Message Stream Anomalies in Railway Communication Systems

Lucas Foulon 1, 2 Serge Fenet 2 Christophe Rigotti 3, 2, 4 Denis Jouvin 1
2 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 BEAGLE - Artificial Evolution and Computational Biology
LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558, Inria Grenoble - Rhône-Alpes, LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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Submitted on : Monday, November 11, 2019 - 12:04:57 AM
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Lucas Foulon, Serge Fenet, Christophe Rigotti, Denis Jouvin. Scoring Message Stream Anomalies in Railway Communication Systems. LMID 2019 - IEEE Workshop on Learning and Mining with Industrial Data, Nov 2019, Beijing, China. pp.1-8. ⟨hal-02357924⟩

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