DocumentCode
1992828
Title
New Approach for Sensitive Association Rule Hiding
Author
Zhang, Xiaoming ; Qiao, Xi
Author_Institution
Dept. of Comput., Beijing Inst. of Petrochem. Technol., Beijing
Volume
2
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
710
Lastpage
714
Abstract
A new sensitive rule hiding algorithm, including two processes of weak association transaction adding and strong association transaction removing, is presented based on the devotion degree of transactions to the discovered association rules. The approach and algorithm are stated in detail aiming to hide simple rules,including two types of single rule and composed rule.Four item modification methods are designed for the updating of selected weak association transactions. Only a small number of transactions are required in updating to keep the original features in the mined dataset. When the modification factor is set above 0.05, the hiding rate can be reached to 100%, and the side effects of the lost rules and new created rules are very small with rate less than 10%. Finally, after the hiding detection to the new database, the robustness to the support attack is satisfying with suitable hiding rate.
Keywords
data mining; data mining; sensitive association rule hiding; strong association transaction removing; weak association transaction adding; Association rules; Cleaning; Computer science education; Data mining; Design methodology; Educational technology; Geoscience and remote sensing; Petrochemicals; Robustness; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.379
Filename
5070461
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