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Secure Data Provenance and Inference Control with Semantic Web
book

Secure Data Provenance and Inference Control with Semantic Web

by Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
August 2014
Intermediate to advanced content levelIntermediate to advanced
478 pages
13h 49m
English
Auerbach Publications
Content preview from Secure Data Provenance and Inference Control with Semantic Web
422Appendix D
Consider a database that consists of a relation SHIP whose attributes are ship
number, name, class, date, and MISSION, with mission number as its primary
key. e content-based constraint that classifies all SHIP values with the name
Josephine as secret is expressed as
SHIP.sname = "Josephine"— — > Secret.
A user at login security level of, for example, Confidential enters the following
data to insert a tuple into the SHIP relation:
Insert SHIP values ("SSN 729", "James","Thomsen","MR1800").
at is, the ship number for James is SSN729, his captain is omsen, and his
mission record number is MR1800.
e update processor will receive this insert and retrieve the constraints associ-
ated with the SHIP relation that specify a level gre
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Publisher Resources

ISBN: 9781466569430