Title :
Hiding sensitive itemsets by inserting dummy transactions
Author :
Hong, Tzung-Pei ; Lin, Chun-Wei ; Chang, Chia-Ching ; Wang, Shyue-Liang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Abstract :
The privacy-preserving data mining (PPDM) has become an important issue in recent years. In this paper, a greedy-based approach for hiding sensitive itemsets by inserting dummy transactions is proposed. It computes the maximal number of transactions to be inserted into the original database for totally hiding sensitive itemsets. Experimental results are also performed to evaluate the performance of the proposed approach.
Keywords :
data encapsulation; data mining; data privacy; dummy transactions; greedy based approach; privacy preserving data mining; sensitive itemsets hiding; Algorithm design and analysis; Association rules; Data privacy; Gaussian distribution; Itemsets; data mining; dummy transaction; insertion; privay preserving; sensitive itemsets;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122602
