Abstract
This paper is based on the (α, k)-anonymity models by introducing the individualized privacy-sensitive factor then computing the individualized privacy preservation demand degree of each sensitive value to realize the individualized service of each sensitive value. It combining with the top-down local codes and the sensitive attribute generalization anonymous technology proposes a method based on the attribute classification tree to realize the individualized (α, k)- anonymity models. At last, the results of simulation show that this method could complete the anonymilization and meet the demand of individualized privacy preservation, and the information loss is lower than the original one.
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