Author : Manasi Dhage 1
Date of Publication :7th December 2016
Abstract: In recent, data sharing is an important task. This data publication is conducted by various organizations under some important rules and regulations. Such data is useful in various researches. But such original data contain sensitive or private information of data owners, and during such data publication privacy of individuals might be reveal to outsiders. Because of this, the need of privacy preserving arises, which is used to hide the individual’s information. Sometimes the collaborative data publishing to multiple users is attacked by outsider or insider. To overcome the problems like, privacy, security, and data integrity during data publication, there is a need of privacy preserving and utility verified data publications approaches. This can by achieve by some data mining techniques. With this, there is another problem of data utility verification of published data as it require raw data, which is not allowed to reveal to users because of some privacy issues. This paper discuss the various issues of collaborative data publication and make study of some recent techniques based on privacy preserving data publication and utility verification with annonimization. Also discuss their respected advantages and limitations.
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