This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.
Original paper

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

Volume: 17, Pages: 3051 - 3061
Published: Jan 1, 2022
Abstract
Anomaly events indicating the unhealthy status of the computer system are recorded in the system log (Syslog). Therefore, Syslog-based anomaly event detection is crucial for diagnosing system issues and problems. However, existing log-based anomaly detection approaches use raw and unstructured log entries independently and incompletely, i.e., without considering the context of each event and event metadata in the logs. They employ...
Paper Details
Title
DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata
Published Date
Jan 1, 2022
Volume
17
Pages
3051 - 3061
© 2025 Pluto Labs All rights reserved.
Step 1. Scroll down for details & analytics related to the paper.
Discover a range of citation analytics, paper references, a list of cited papers, and more.