2011
DOI: 10.4304/jcp.6.5.1024-1031
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Database Deductive Access Control

Abstract: Real data used in research projects give rise to conflicts of protecting privacy and providing more function: functionality requires trying to make use of maximum amount of data, while privacy requirements try to protect such information from being leaked. In this paper, a new model is proposed to capture relationships between database attributes and to record users’ knowledge about database so as to prevent them from getting sensitive information by combining results returned from multiple queries, … Show more

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Cited by 2 publications
(1 citation statement)
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“…The knowledge base (or index) is the key component in our framework. In the future, we plan to apply the mechanism of database access control in [15] and the idea of clustering algorithm in [16] to ameliorate our knowledge base, and we will optimize our algorithm for the weights of query words to improve the recalls and precisions of recommender queries. It would be interesting to consider that multiple candidate recommender queries are listed by using the auto complete techniques of the Textbox as described in [17], which will provide the conveniences for the users and increase the efficiency in refining the recommender queries.…”
Section: Discussionmentioning
confidence: 99%
“…The knowledge base (or index) is the key component in our framework. In the future, we plan to apply the mechanism of database access control in [15] and the idea of clustering algorithm in [16] to ameliorate our knowledge base, and we will optimize our algorithm for the weights of query words to improve the recalls and precisions of recommender queries. It would be interesting to consider that multiple candidate recommender queries are listed by using the auto complete techniques of the Textbox as described in [17], which will provide the conveniences for the users and increase the efficiency in refining the recommender queries.…”
Section: Discussionmentioning
confidence: 99%