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Research on privacy preserving method based on T-closeness model

机译:基于T-贴近度模型的隐私保护方法研究

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T-closeness model is a better method for data publishing privacy preserving technology, but the traditional t-closeness method is more complex. Based on clustering idea, the t-closeness model is implemented in a simpler way. On this basis, in order to optimize the data availability and privacy protection effect at the same time, the parameter selection and adjustment method of the anonymous method is proposed. Experimental results show that this method can effectively implement the t-closeness model, while ensuring the availability of data, and prevent privacy leaks.
机译:T紧密度模型是一种用于数据发布隐私保护技术的更好方法,但是传统的T紧密度方法更为复杂。基于聚类思想,以更简单的方式实现t紧密度模型。在此基础上,为了同时优化数据的可用性和隐私保护效果,提出了匿名方法的参数选择和调整方法。实验结果表明,该方法可以有效地实现t紧密度模型,同时确保数据的可用性,并防止隐私泄露。

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