Research on system log anomaly detection based on deep learning
The system log reflects the running status of the system and records the activity information of specific events in the system.Therefore,the rapid and accurate detection of the system abnormal log is important to the security and stability of the system.A log anomaly detection algorithm based on GRU...
Saved in:
Main Authors: | Yidong WANG, Peishun LIU, Gbin WAN |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2019-10-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019055 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey on anomaly detection technology based on logs
by: Yingjun ZHANG, et al.
Published: (2020-12-01) -
Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis
by: Tomasz Walczyna, et al.
Published: (2024-12-01) -
Research on new energy power plant network traffic anomaly detection method based on EMD
by: Danni Liu, et al.
Published: (2025-01-01) -
A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions
by: Fengling Wang, et al.
Published: (2025-01-01) -
Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning
by: Nicholas Merrill, et al.
Published: (2020-01-01)