Few-Shot Log Anomaly Detection Based on Matching Networks-Reference-Cited by-同舟云学术

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Few-Shot Log Anomaly Detection Based on Matching Networks

Published:2024-06 Issue:3 Volume:21 Page:2909-2925
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Han Chunjing¹^ORCID,Guan Bohai¹^ORCID,Li Tong¹^ORCID,Kang Di²^ORCID,Qin Jifeng³^ORCID,Wu Yulei⁴^ORCID

Affiliation:

1. Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. National Confidentiality Technology Evaluation Center, Beijing, China

3. Huanghe Science and Technology College, Zhengzhou, Henan, China

4. Faculty of Engineering, University of Bristol, Bristol, U.K

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10599562/10428049.pdf?arnumber=10428049

Reference38 articles.

1. DeepLog: Anomaly detection and diagnosis from system logs through deep learning;Du

2. Open-world Learning and Application to Product Classification

3. Evaluation of Distributed Machine Learning Algorithms for Anomaly Detection from Large-Scale System Logs: A Case Study

4. Robust log-based anomaly detection on unstable log data

5. LogAnomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs;Meng

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