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Severity-Regularized Deep Support Vector Data Description with Application to Intrusion Detection in Cybersecurity

Anomalies in real systems differ widely in impact, as such, missing a high-severity event can be far costlier and consequential than flagging a benign outlier. This paper introduces Severity-Regularized Deep Support Vector Data Description, an extention of deep support vector data description that i...

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Hovedforfatter: Taha J. Alhindi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Mathematics
Fag:
anomaly detection
cybersecurity
Deep SVDD
host-based intrusion detection (HIDS)
severity-aware intrusion detection
Severity-Regularized Deep SVDD (SR-DeepSVDD)
Online adgang:https://www.mdpi.com/2227-7390/13/23/3741
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