The Sub-Sequence Summary Method for Detecting Anomalies in Logs
This paper introduces a novel method for detecting log anomalies using deep learning. In contrast to state-of-the-art methods that rely on sequence models such as LSTMs or Transformers, our approach does not require the subsequent log lines to be fed directly into the model. Instead, we extract spec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10102551/ |