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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Bibliographic Details
Main Authors: Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/16/7/566
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