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Issue No.11 - November (1991 vol.17)
pp: 1195-1203
<p>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.</p>
inference vulnerability; extended data model; secrecy; Semantic Data Model for Security; security requirements; database design; signaling vulnerabilities; security-relevant data semantics; multilevel secure automated information system; database management systems; security of data
G.W. Smith, "Modeling Security-Relevant Data Semantics", IEEE Transactions on Software Engineering, vol.17, no. 11, pp. 1195-1203, November 1991, doi:10.1109/32.106974
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