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Modeling security-relevant data semantics

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1 Author(s)
G. W. Smith ; Inf. Resources Manage. Coll., Nat. Defense Univ., Washington, DC, USA

The use of an extended data model which represents both integrity and secrecy aspects of data is demonstrated. This Semantic Data Model for Security (SDMS) provides a technique that assists domain experts, security officers, and database designers in first understanding their security requirements, and then translating them into a good database design. Identifying security requirements at this semantic level provides the basis for analyzing the security requirements and the database design for inference and signaling vulnerabilities. Another contribution is a comprehensive taxonomy of security-relevant data semantics that must be captured and understood to implement a multilevel secure automated information system

Published in:

IEEE Transactions on Software Engineering  (Volume:17 ,  Issue: 11 )