Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes

Reference : Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/38853

Title :	Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes
Language :	French
Author, co-author :	Kiouche, Abd Errahmane []
	Amrouche, Karima []
	Seba, Hamida []
	Lagraa, Sofiane [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	23-Jan-2019
Journal title :	EGC
Peer reviewed :	Yes
Audience :	International
Keywords :	[en] graph ; anomaly detection ; streaming
Abstract :	[en] In this work, we propose a new approach to detect anomalous graphs in a stream of di- rected and labeled heterogeneous graphs. Our approach uses a new representation of graphs by vectors. This representation is flexible and allows to update the graph vectors as soon as a new edge arrives. In addition, it is applicable to any type of graph and optimizes memory space. Moreover, it allows the detection of anomalies in real-time.
Permalink :	http://hdl.handle.net/10993/38853

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