Article (Scientific journals)
Une nouvelle approche pour la détection d’anomalies dans les flux de graphes hétérogènes
Kiouche, Abd Errahmane; Amrouche, Karima; Seba, Hamida et al.
2019In EGC
Peer reviewed
 

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Keywords :
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.
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
Publication date :
23 January 2019
Journal title :
EGC
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 20 February 2019

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