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arXiv · 1506.05506

Noise Addition for Individual Records to Preserve Privacy and Statistical Characteristics: Case Study of Real Estate Transaction Data

Yuzo Maruyama·Ryoko Tone·Yasushi Asami
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Abstract

We propose a new method of perturbing a major variable by adding noise such that results of regression analysis are unaffected. The extent of the perturbation can be controlled using a single parameter, which eases an actual perturbation application. On the basis of results of a numerical experiment, we recommend an appropriate value of the parameter that can achieve both sufficient perturbation to mask original values and sufficient coherence between perturbed and original data.

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Yuzo Maruyama, Ryoko Tone, Yasushi Asami. 2015-08-07. Noise Addition for Individual Records to Preserve Privacy and Statistical Characteristics: Case Study of Real Estate Transaction Data. https://arxiv.org/abs/1506.05506

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