A Survey on Novel Privacy Technique to Secure Sensitivity of Micro Data

The collaborative information publishing difficulty for anonymizing horizontally partitioned data at numerous data providers. Data providers can attempt to infer information about data coming from other providers during the anonymization. A distributed databases there is an ever-increasing require for distribution information that hold individual information. The offered scheme presented collaborative data publishing problem for anonymizing horizontally partitioned information at numerous information providers. So m-privacy, which guarantees that the anonymized data satisfies a given privacy constraint against any group of up to m colluding data providers. There will be M number of users so the anonymization algorithm for each individual user cannot be provided individually. To overcome this, a novel technique called overlapping slicing which provides better data utility using l diversity requirement for high dimensional data is used.