DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata-Reference-Cited by-同舟云学术

DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata

Published:2022 Issue: Volume:17 Page:3051-3061
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Zhou Junwei¹^ORCID,Qian Yijia¹,Zou Qingtian²,Liu Peng²^ORCID,Xiang Jianwen¹^ORCID

Affiliation:

1. School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA

Funder

NSF

Key Research and Development Program of Hainan Province

Key Research and Development Program of Hubei Province

Key-Area Research and Development Programs of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

https://ieeexplore.ieee.org/ielam/10206/9652463/9865986-aam.pdf

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4. Introducing cloudlab: Scientific infrastructure for advancing cloud architectures and applications;ricci;The Magazine of USENIX and SAGE,2014

5. Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation

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