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- Title
A Confidentiality Distribute in Broadcast Data Using Slicing Approach.
- Authors
Teja, Bejjam Swarna; Babu, Jonna Siva Shankar
- Abstract
Privacy preserving data publishing (PPDP) provides methods for publishing colleting and stored information. For providing protection we have various privacy methods have been considered. In this paper give a brief sketch of number of anonymous techniques for privacy preserving micro data publishing. A number of anonymization techniques are designed for privacy preserving micro data publishing. Such a kind of Anonymization methods are Generalization and Bucketization. Coming to generalization us losses huge amount of information for high dimensional data. Because introducer can easily identify the information regarding particular person using quasi and sensitive attributes. Bucketization doesn't prevent the uniqueness discovery and have a clear disconnection between sensitive and quasi-identifier attribute. To defeat those drawbacks introduce a new method called as slicing. Slicing method can partition the data both vertically and horizontally. Slicing can also be used to prevent recognition disclosure, and the main advantage of slicing is managing me the high dimensional data or huge volume of information. Our investigational results shows that slicing is improved than generalization for data utility, and providing privacy preserving than bucketization.
- Subjects
BROADCAST data systems; DISTRIBUTED computing; INFORMATION technology security; PATTERN recognition systems; DATA security
- Publication
International Journal of Recent Research Aspects, 2018, Vol 5, Issue 3, p21
- ISSN
2349-7688
- Publication type
Article