Title :
The semantic data model for security: representing the security semantics of an application
Author_Institution :
Sch. of Inf. Technol. & Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
Data security requirements go beyond traditional access control considerations to include relationships among data that must be protected. The author extends the data-modeling concepts to include the secrecy properties of data. The semantic data model for security (SDMS) is proposed as the vehicle for users, database designers and security officers to analyze and understand the security requirements of the application domain. The model aids in analyzing data security requirements and database designs by providing an easy-to-comprehend representation scheme. SDMS can represent a full range of security semantics of an application
Keywords :
data structures; database management systems; database theory; security of data; SDMS; application domain; data security requirements; data-modeling concepts; database designers; database designs; easy-to-comprehend representation scheme; secrecy properties; security officers; security requirements; security semantics; semantic data model; Access control; Application software; Computer security; Data models; Data security; Database systems; Government; Information security; Protection; Relational databases;
Conference_Titel :
Data Engineering, 1990. Proceedings. Sixth International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-2025-0
DOI :
10.1109/ICDE.1990.113484