期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2013
卷号：5
页码：671-684
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：In this paper, we propose an observation-based fine grained access control (OFGAC) mechanism where data are made accessible at various levels of abstractions accord- ing to their sensitivity levels. In this setting, unauthorized users are not able to infer the exact content of the confiden- tial 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.
