A Novel Approach for Publishing Data With Privacy

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Provided by: International Journal of Advanced Technology in Engineering and Science (IJATES)
Topic: Data Management
Format: PDF
In this paper, the authors consider as the collaborative data publishing problem for anonymizing horizontal partitioned data at multiple data providers. Here they consider the new type "Insider attack" by colluding data provider who may use their own data records a subset of the overall data in addition to the external background knowledge to the infer the data record contributed by other data providers. In this addresses this new threat and makes the several contributions.
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