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Data Perturbation

Data Perturbation:

Perturbation adds small amounts of random noise to field values or query results. It protects them against privacy attacks which rely on knowledge of specific values. Perturbation-based approaches must ensure that the noise magnitude is small enough that the valuable insights in the dataset are preserved.

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Why you can’t solve big data privacy with small data tools - Part I: Beyond Data Masking

It’s the age of big data. With ever more complex datasets around, and ever more information being made publicly available, protecting sensitive information has never been this hard.


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