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Conference papers
A Gaussian mixture model for dynamic detection of abnormal behavior in smartphone applications
1
ERA - Environnement de Réseaux Autonomes (France)
- ICD - Institut Charles Delaunay (12, rue Marie Curie BP 2060 - 10010 Troyes Cedex - France)
- UTT - Université de Technologie de Troyes (12 rue Marie Curie CS 42060 10004 TROYES CEDEX - France)
- CNRS - Centre National de la Recherche Scientifique : UMR6281 (France)
2
LTCI - Laboratoire Traitement et Communication de l'Information (46 rue Barrault F-75634 Paris Cedex 13 - France)
- Télécom ParisTech (46 rue Barrault 75634 Paris Cedex 13 - France)
- IMT - Institut Mines-Télécom [Paris] (37-39 Rue Dareau, 75014 Paris - France)
Document type :
Conference papers
Complete list of metadatas
https://hal.telecom-paris.fr/hal-02342688
Contributor : Rida Khatoun <>
Submitted on : Friday, November 1, 2019 - 10:32:07 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:41 PM
Contributor : Rida Khatoun <>
Submitted on : Friday, November 1, 2019 - 10:32:07 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:41 PM
Identifiers
- HAL Id : hal-02342688, version 1
- DOI : 10.1109/GIIS.2014.6934278
Citation
Ali El Attar, Rida Khatoun, Marc Lemercier. A Gaussian mixture model for dynamic detection of abnormal behavior in smartphone applications. 2014 Global Information Infrastructure and Networking Symposium (GIIS), Sep 2014, Montreal, France. pp.1-6, ⟨10.1109/GIIS.2014.6934278⟩. ⟨hal-02342688⟩
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