The paper presents an approach based on machine learning to refine attribute-based access control policies in order to reduce the risks of users abusing their privileges. The approach exploits behavioral patterns representing how users typically access resources to narrow the permissions granted to users when anomalous behaviors are detected.
Towards Adaptive Access Control
Paci, Federica;
2018-01-01
Abstract
The paper presents an approach based on machine learning to refine attribute-based access control policies in order to reduce the risks of users abusing their privileges. The approach exploits behavioral patterns representing how users typically access resources to narrow the permissions granted to users when anomalous behaviors are detected.
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