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Overlapping Slicing a Method for Privacy Preservation in Medical Applications

Authors(2):

Rakshatha V, Supriya Salian
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Overlapping slicing is the best technique for privacy preserving of the published data set, it also preserves the data usefulness by hiding the sensitive information. Overlapping slicing is also used to hide the individual detail without revealing the identity of any individual at the same time offers better privacy. The different techniques that are used for privacy preservation of data namely generalization, bucketization, Multi-set generalization, slicing and overlapping slicing. Overlapping slicing technique is used to compress the whole dataset in order to preserve the privacy without any separation between quasi attribute and sensitive attribute that hides the individual detail by displaying only the required information which will be helpful for data usefulness and to take further decision to improve medical related technologies and medicines.

Rakshatha V, Supriya Salian

Privacy, Overlapping Slicing, Privacy Preservation Data Publication.

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  4. Jeevanandhini M and Ruby gnanaselvam C  "Slicing techniques: A new approach to privacy preserving data publishing" International Journal of Multidisciplinary Research and Development,Volume 3,Issue 6, 2016 ISSN: 2349-4182.
  5. S.Giri and  Mr.Nilav Mukhopadhyay "Overlapping Slicing With A New Privacy Model" International Journal of Scientific and Research Publications, Volume 4, Issue 6,2014, ISSN 2250-3153.

Publication Details

Published in : Volume 3 | Issue 5 | July-August - 2017
Date of Publication Print ISSN Online ISSN
2017-08-31 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
254-258 IJSRSET173464   Technoscience Academy

Cite This Article

Rakshatha V, Supriya Salian, "Overlapping Slicing a Method for Privacy Preservation in Medical Applications", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.254-258, July-August-2017.
URL : http://ijsrset.com/IJSRSET173464.php