Title :
Database Deductive Access Control
Author_Institution :
Sch. of Sci. & Technol., Nottingham Trent Univ., Nottingham, UK
Abstract :
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.
Keywords :
authorisation; data privacy; deductive databases; query processing; database attributes; database deductive access control; database privacy; multiple query; privacy requirements; protecting privacy; research projects; Access control; Chemistry; Data privacy; Databases; Privacy; Resists; Semantics; access control; database security; deductive access;
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
DOI :
10.1109/ICIE.2010.124