Effective Context-Aware File Path Embeddings for Anomaly Detection
In digital forensics, especially Windows forensics, identifying anomalous file paths is crucial when dealing with large-scale data. Traditional static embedding methods, which aggregate token-level representations, discard hierarchical and sequential relationships in file paths, leading to misclassi...
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| Main Authors: | Ra-Kyung Lee, Hyun-Min Song, Taek-Young Youn |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/13/6/403 |
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