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Mathematical Problems in Engineering
Volume 2015, Article ID 464731, 14 pages
Research Article

Privacy Protection Method for Multiple Sensitive Attributes Based on Strong Rule

College of Computer Science, Communication University of China, Beijing 100024, China

Received 14 April 2015; Revised 10 July 2015; Accepted 15 July 2015

Academic Editor: Nazrul Islam

Copyright © 2015 Tong Yi and Minyong Shi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


At present, most studies on data publishing only considered single sensitive attribute, and the works on multiple sensitive attributes are still few. And almost all the existing studies on multiple sensitive attributes had not taken the inherent relationship between sensitive attributes into account, so that adversary can use the background knowledge about this relationship to attack the privacy of users. This paper presents an attack model with the association rules between the sensitive attributes and, accordingly, presents a data publication for multiple sensitive attributes. Through proof and analysis, the new model can prevent adversary from using the background knowledge about association rules to attack privacy, and it is able to get high-quality released information. At last, this paper verifies the above conclusion with experiments.