On Multidimensional k-Anonymity with Local Recoding Generalization

@article{Du2007OnMK,
  title={On Multidimensional k-Anonymity with Local Recoding Generalization},
  author={Yang Du and Tian Xia and Yufei Tao and Donghui Zhang and Feng Zhu},
  journal={2007 IEEE 23rd International Conference on Data Engineering},
  year={2007},
  pages={1422-1424}
}
This paper presents the first theoretical study, on using local-recoding generalization (LRG) to compute a k-anonymous 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. 
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