Title :
A lattice-based data sanitization approach
Author :
Hong, Tzung-Pei ; Lin, Chun-Wei ; Yang, Kuo-Tung ; Wang, Shyue-Liang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
Abstract :
The privacy-preserving data mining (PPDM) has become an important issue in recent years. In this paper, we propose a lattice-based approach for modifying original databases in order to hide sensitive itemsets. The lattice structure is built based on the relation of sensitive itemsets. The approach uses the bottom-up deletion strategies to gradually reduce the frequency of sensitive itemsets in the hiding process. Experimental results also show the performance of the proposed approach.
Keywords :
data mining; data privacy; bottom-up deletion strategies; lattice structure; lattice-based data sanitization approach; privacy-preserving data mining; sensitive itemsets; Algorithm design and analysis; Association rules; Data privacy; Itemsets; Lattices; data mining; hiding sensitive itemsets; lattice; privacy-preserving data mining;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6084025
