TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU |
| 영문제목(English Title) |
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU |
| 저자(Author) |
Yixiang Fang
Kai Tu
Kai Wu
Yi Peng
Yunqing Shi
Wei Fang
Xuelei Jia
Wen Zhang
Victor S. Sheng
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| 원문수록처(Citation) |
VOL 17 NO. 02 PP. 0486 ~ 0503 (2023. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Logs play an important role in mastering the health of the system, experienced operation and maintenance engineer can judge which part of the system has a problem by checking the logs. In recent years, many system architectures have changed from single application to distributed application, which leads to a very huge number of logs in the system and manually check the logs to find system errors impractically. To solve the above problems, we propose a method based on Message Middleware and ATT-GRU (Attention Gate Recurrent Unit) to detect the logs anomaly of distributed systems. The works of this paper mainly include two aspects: (1) We design a high-performance distributed logs collection architecture to complete the logs collection of the distributed system. (2)We improve the existing GRU by introducing the attention mechanism to weight the key parts of the logs sequence, which can improve the training efficiency and recognition accuracy of the model to a certain extent. The results of experiments show that our method has better superiority and reliability. |
| 키워드(Keyword) |
information hiding
image segmentation
projection matrix
QR code
secret embedding logic
Log Anomaly Detection
Message Middleware
Attention Mechanism
Gate Recurrent Unit (GRU)
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| 파일첨부 |
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