Providing Data Group Anonymity Using Concentration Differences

Oleg Chertov; Dan Tavrov

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arXiv · 1011.1132

Providing Data Group Anonymity Using Concentration Differences

Oleg Chertov·Dan Tavrov

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Abstract

Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There exist two main subclasses of such a task, namely, providing individual and group anonymity. In the paper, we introduce a novel method of protecting group data patterns. Also, we provide a comprehensive illustrative example.

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Oleg Chertov, Dan Tavrov. 2010-11-04. Providing Data Group Anonymity Using Concentration Differences. https://arxiv.org/abs/1011.1132

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