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Anubis : A smart context-aware security model for access control

delete2026-04-15
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PRE
AI
V
Vítor Kehl Matter
T
Taimisson de Carvalho Schardosim *
M
Márcio Garcia Martins
J
Jorge Luís Victória Barbosa
DOI：10.1016/j.jisa.2026.104469delete
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Abstract

Abstract

En 中文
• Anubis unifies context-aware security and machine learning for access control. • It classifies zones as safe, neutral or dangerous using geofencing and clustering. • Anubis adapts in real-time with ALLOW/WARN/BLOCK decisions based on context and anomalies. • The model achieves higher prediction accuracy in synthetic mobile sensor scenarios. • Anubis revises 74% of static ALLOW decisions to WARN/BLOCK, raising accuracy to 64%.
Keywords:
Anubis
context-aware security
access control
machine learning
geofencing

Journal

Journal of Information Security and Applications cover
Journal of Information Security and Applications
IF:
3.7
Papers:
1.9K
Citations:
4.9K

Organization

No organization information available