Inference Control of Databases Based on Rough Set Theory

This paper describes an approach to controlling inference disclosure of secure relation databases based on Rough Set Theory (RST). We analyze and discover all the relation between non-sensitive and sensitive data with RST. Then according to the importance of these relations and attributes, data of database queried by generic users are modified dynamically and most parsimoniously with preventing sensitive data being inferred from non-sensitive data. Experimental result shows that the approach is scalable and preserves high availability of data while improving security of inference control.