Effective Context-Aware File Path Embeddings for Anomaly Detection

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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Bibliographic Details
Main Authors: Ra-Kyung Lee, Hyun-Min Song, Taek-Young Youn
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Systems
Subjects:
digital forensics
file path analysis
sequence modeling
word embeddings
anomaly detection
Online Access:https://www.mdpi.com/2079-8954/13/6/403
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