IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Statistical Framework for Handling Network Anomalies

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

Author(s): Mohamed Bouguessa ; Amani Chouchane
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2018
Conference Location: Barcelona, Spain
Conference Date: 28 August 2018
Page(s): 709 - 714
ISBN (Electronic): 978-1-5386-6051-5
ISSN (Electronic): 2473-991X
DOI: 10.1109/ASONAM.2018.8508299
Regular:

This paper proposes a statistical framework to automatically identify anomalous nodes in static networks. In our approach, we first associate to each node a neighborhood cohesiveness feature... View More

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