Vertical And Horizontal Partition Of Microdata For Publishing Through Privacy
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 5
Abstract
Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving micro data publishing. Recent work has shown that generalization loses considerable amount of information, especially for high dimensional data. Bucketization, on the other hand, does not prevent membership disclosure and does not apply for data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. We present a novel technique called slicing, which partitions the data both horizontally and vertically.
Authors and Affiliations
N. Venkata Lakshmi, V. Srinivas Rao
Keywords
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- EP ID EP27929
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