A robust Wide & Deep learning framework for log-based anomaly detection-Reference-Cited by-同舟云学术

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A robust Wide & Deep learning framework for log-based anomaly detection

Published:2024-03 Issue: Volume:153 Page:111314
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Niu Weina,Liao Xuhan,Huang Shiping,Li Yudong,Zhang Xiaosong,Li Beibei

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference36 articles.

1. Amazon Web Services outage affects Adobe, Roku, Twilio, Flickr, others;Soper,2020

2. Annual report of the board of governors of the federal reserve system,2021

3. Contextual analysis of program logs for understanding system behaviors;Fu,2013

4. Experience report: Anomaly detection of cloud application operations using log and cloud metric correlation analysis;Farshchi,2015

5. Automated IT system failure prediction: A deep learning approach;Zhang,2016

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