Observation-based Fine Grained Access Control of Data
Agostino Cortesi, Raju Halder · ARCA (Università Ca' Foscari Venezia) · 2013
In this paper, we propose an observation-based fine grained access control (OFGAC) mechanism where data are made accessible at various levels of abstractions according to their sensitivity levels. In this setting, unauthorized users are not able to infer the exact content of the confidential data, while they are allowed to get partial information out of it, according to their access rights. The traditional fine grained access control (FGAC) can be seen as a special case of the OFGAC framework.