Name
Abstract | ||
|---|---|---|
System logs record valuable information about the runtime status of IT systems. Therefore, system logs are a naturally excellent source of information for anomaly detection. Most of the existing studies on log-based anomaly detection construct a detection model to identify anomalous logs. Generally, the model treats historical logs as natural language sequences and learns the normal patterns from ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IC-NIDC54101.2021.9660476 | 2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) |
Keywords | DocType | ISBN |
Runtime,Linux,Conferences,Semantics,Natural languages,Production,Feature extraction | Conference | 978-1-6654-0582-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongqing Yu | 1 | 0 | 0.34 |
| Xiaowei Hou | 2 | 0 | 0.34 |
| Ce Li | 3 | 0 | 0.34 |
| Qiujian Lv | 4 | 0 | 2.03 |
| Yan Wang | 5 | 0 | 1.35 |
| Ning Li | 6 | 0 | 0.34 |