[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.
Disciplines :
Computer science
Author, co-author :
Kiouche, Abd Errahmane
Amrouche, Karima
Seba, Hamida
LAGRAA, Sofiane ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
French
Title :
Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes
