Unsupervised log message anomaly detection-Reference-Cited by-同舟云学术

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Unsupervised log message anomaly detection

Published:2020-09 Issue:3 Volume:6 Page:229-237
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Farzad Amir^ORCID,Gulliver T. Aaron^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference40 articles.

1. Tools and benchmarks for automated log parsing;Zhu,2019

2. SherLog: error diagnosis by connecting clues from run-time logs;Yuan,2010

3. The research of log-based network monitoring system;Zhang,2012

4. Anomaly detection from network logs using diffusion maps;Sipola,2011

5. Log-based anomaly detection of CPS using a statistical method;Harada,2017

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4. LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking;Proceedings of the ACM on Software Engineering;2024-07-12

5. Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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