IEEE - Institute of Electrical and Electronics Engineers, Inc. - Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Author(s): Wenxiao Chen ; Haowen Xu ; Zeyan Li ; Dan Pei ; Jie Chen ; Honglin Qiao ; Yang Feng ; Zhaogang Wang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 April 2019
Conference Location: Paris, France, France
Conference Date: 29 April 2019
Page(s): 1,891 - 1,899
ISBN (Electronic): 978-1-7281-0515-4
ISSN (Electronic): 2641-9874
DOI: 10.1109/INFOCOM.2019.8737430
Regular:

To ensure the reliability of the Internet-based application services, KPIs (Key Performance Monitors) are closely monitored in real time and the anomalies presented in the KPIs must be discovered... View More

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