On Multidimensional k-Anonymity with Local Recoding Generalization

This paper presents the first theoretical study, on using local-recoding generalization (LRG) to compute a kanonymous table with quality guarantee. First, we prove that it is NP-hard both to find the table with the maximum quality, and to discover a solution with an approximation ratio at most 5/4. Then, we develop an algorithm with good balance between the approximation ratio and time complexity. The quality of our solution is verified by experiments.

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Yang Du, Tian Xia, Yufei Tao, Donghui Zhang, Feng Zhu
• Keywords: Approximation Ratio, Database, ICDE 2007, Maximum Quality, Quality Guarantee