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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
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
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https://hal.archives-ouvertes.fr/hal-02357924
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Submitted on : Monday, November 11, 2019 - 12:04:57 AM
Last modification on : Tuesday, October 25, 2022 - 4:20:31 PM
Long-term archiving on: : Wednesday, February 12, 2020 - 1:20:55 PM

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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, ⟨10.1109/ICDMW.2019.00114⟩. ⟨hal-02357924⟩

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