Fine Grained Access Control for Relational Databases by Abstract Interpretation

In this paper, we propose an observation-based fine grained access control (OFGAC) mechanism where data are made accessible at various level of abstraction according to their sensitivity level. In this setting, unauthorized users are not able to infer the exact content of the data cell containing confidential information, 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.