Title :
Enhancing the Security of Statistical Databases with a Question-Answering System and a Kernel Design
Author :
Ozsoyoglu, Gultekin ; Chin, Francis Y.
Author_Institution :
Department of Computer and Information Science, Cleveland State University
fDate :
5/1/1982 12:00:00 AM
Abstract :
The security problem of a statistical database is to limit database use so that no private information is deducible. This paper discusses the advantages of using a Question-Answering System and a security kernel to enhance the security constraints at the conceptual model level. An SDB design with the goal of helping the DBA in specifying certain security contraints is proposed.
Keywords :
Conceptual models; Question-Answering System; inference control; security; security kernel; statistical databases; Control system synthesis; Councils; Data security; Databases; Inference mechanisms; Information science; Information security; Kernel; Protection; Size control; Conceptual models; Question-Answering System; inference control; security; security kernel; statistical databases;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1982.235252
