Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning-Reference-Cited by-同舟云学术

Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning

Published:2022-04-25 Issue: Volume: Page:
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Container-title:NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
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Author:

Qi Jiaxing¹,Luan Zhongzhi¹,Huang Shaohan¹,Wang Yukun¹,Fung Carol²,Yang Hailong¹,Qian Depei¹

Affiliation:

1. Beihang University,School of Computer Science and Engineering, Sino-German Joint Software Institute,Beijing,China

2. Virginia Commonwealth University,Computer Science Department,Richmond,VA,USA,23284

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9789703/9789704/09789917.pdf?arnumber=9789917

Reference32 articles.

1. HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log

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3. A search-based approach for accurate identification of log message formats

4. LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

5. Adversarial feature learning;donahue,0

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