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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Egile nagusia:	Taha J. Alhindi
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-11-01
Saila:	Mathematics
Gaiak:	anomaly detection cybersecurity Deep SVDD host-based intrusion detection (HIDS) severity-aware intrusion detection Severity-Regularized Deep SVDD (SR-DeepSVDD)
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/13/23/3741
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