Sylph: An Unsupervised APT Detection System Based on the Provenance Graph
Traditional detection methods and security defenses are gradually insufficient to cope with evolving attack techniques and strategies, and have coarse detection granularity and high memory overhead. As a result, we propose Sylph, a lightweight unsupervised APT detection method based on a provenance...
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| Main Authors: | Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
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| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/7/566 |
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