Reference : Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes |
Scientific journals : Article | |||
Engineering, computing & technology : Computer science | |||
Computational Sciences | |||
http://hdl.handle.net/10993/38853 | |||
Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes | |
French | |
Kiouche, Abd Errahmane [] | |
Amrouche, Karima [] | |
Seba, Hamida [] | |
Lagraa, Sofiane ![]() | |
23-Jan-2019 | |
EGC | |
Yes | |
International | |
[en] graph ; anomaly detection ; streaming | |
[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. | |
http://hdl.handle.net/10993/38853 |
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