System and method for data anonymization using hierarchical data clustering and perturbation
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United States of America Patent
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Sep 15, 2015
Grant Date -
Dec 19, 2013
app pub date -
Jun 13, 2013
filing date -
Jun 13, 2012
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Abstract
A system and method for data anonymization using hierarchical data clustering and perturbation is provided. The system includes a computer system and an anonymization program executed by the computer system. The system converts the data of a high-dimensional dataset to a normalized vector space and applies clustering and perturbation techniques to anonymize the data. The conversion results in each record of the dataset being converted into a normalized vector that can be compared to other vectors. The vectors are divided into disjointed, small-sized clusters using hierarchical clustering processes. Multi-level clustering can be performed using suitable algorithms at different clustering levels. The records within each cluster are then perturbed such that the statistical properties of the clusters remain unchanged.
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