Database Deductive Access Control
Xiaoqi Ma · 2010
Real data used in research projects give rise to conflicts of protecting privacy and providing more functions: functionality requires trying to make use of maximum amount of data, while privacy requirements try to protect such information from being leaked. In this paper, a new model is proposed to capture relationships between database attributes and to record users' knowledge about database so as to prevent them from getting sensitive information by combining results returned from multiple queries, aiming to protect database privacy. This new model successfully solves the deductive access control problem in databases.