Angus: efficient active learning strategies for provenance based intrusion detection

Angus: efficient active learning strategies for provenance based intrusion detection

Abstract As modern attack methods become more concealed and complex, obtaining many labeled samples in big data streams is difficult. Active learning has long been used to achieve better intrusion detection performance by using only a small number of training samples. Intrusion behaviors can be desc...

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Bibliographic Details
Main Authors: Lin Wu, Yulai Xie, Jin Li, Dan Feng, Jinyuan Liang, Yafeng Wu
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Cybersecurity
Subjects:
Provenance
Intrusion detection
Active learning
The most similar graph query strategy
The maximum difference query strategy
Online Access:https://doi.org/10.1186/s42400-024-00311-y
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https://doi.org/10.1186/s42400-024-00311-y

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