For achieving the different privacy preservation requirements of each individual

this paper presents a personalized extension

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-diversity privacy anonymous model orienting individuals.This model proposes an extension

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-diversity principle based on the traditional

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-diversity

and realizes the requirement of personalized protection of relationship between individual and sensitive value by setting up guarding attributes on sensitive attributes.In the meantime

this paper also proposes a personalized extension

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-diversity inverse clustering algorithm (PELI-clustering) to implement the privacy anonymous model presented in this paper.The experiments show that the proposed algorithm in this paper not only me

ets the requirements of personalized service

but also produces similar information loss to the traditional clustering-based

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-diversity algorithm with less time cost

which achieves more effective privacy preservation.