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A Multi-Dimensional K-Anonymity Model for Hierarchical Data
August 03-August 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.1132008 International Symposium on Elect ...
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Xiaojun Ye, Lei Jin, Bin Li, "A Multi-Dimensional K-Anonymity Model for Hierarchical Data," Electronic Commerce and Security, International Symposium, pp. 327-332, 2008 International Symposium on Electronic Commerce and Security, 2008.
 
 
BibTex
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@article{ 10.1109/ISECS.2008.113,
author = {Xiaojun Ye and Lei Jin and Bin Li},
title = {A Multi-Dimensional K-Anonymity Model for Hierarchical Data},
journal ={Electronic Commerce and Security, International Symposium},
volume = {0},
year = {2008},
isbn = {978-0-7695-3258-5},
pages = {327-332},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.113},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Electronic Commerce and Security, International Symposium
TI - A Multi-Dimensional K-Anonymity Model for Hierarchical Data
SN - 978-0-7695-3258-5
SP327
EP332
A1 - Xiaojun Ye,
A1 - Lei Jin,
A1 - Bin Li,
PY - 2008
KW - null
VL - 0
JA - Electronic Commerce and Security, International Symposium
ER -
 
For improving the usability of the anonymous result, it is important to comply with the hierarchical structure when generalizing quasi-identifying attributes with hierarchical characteristics. We propose an unrestricted multi-dimensional anonymization model which combines global recoding and local recoding methods. The bottom-up anonymization algorithm with the minimal coverage subgraph constraint and the anonymization metric are proposed. The experiment results justify the effectiveness and scalability of this model.
Citation:
Xiaojun Ye, Lei Jin, Bin Li, "A Multi-Dimensional K-Anonymity Model for Hierarchical Data," isecs, pp.327-332, 2008 International Symposium on Electronic Commerce and Security, 2008
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