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Privacy Preserving Updates for Anonymzation Data Using ℓ -Diversity

Authors(2):

Suyog Vilas Patil, Prof. K. B. Manwade
  • Abstract
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To prevent misuse of sensitive data by the unauthorized/application users and provide both privacy and security of the sensitive data. The privacy preservation mechanism is to protect the data from unauthorized user. Privacy Protection Mechanism (PPM) can satisfy privacy requirements such as k-anonymity and l-diversity. The privacy protection mechanism (PPM) is a general method used to transform the original data into some anonymous form to prevent from accessing owners sensitive information. PPM meets privacy requirement through k-anonymity it provides better privacy for the sensitive information which is to sbe shared. The privacy is achieved by the high accuracy of the user information. The ? -diversity method is an extension of the k-anonymity method, it is more efficient than the k-anonymity method. It avoids the attacks like background knowledge attack and others in k-anonymity method. In this paper we analyze ?-diversity method with different techniques.

Suyog Vilas Patil, Prof. K. B. Manwade

Privacy Protection Mechanism, k-anonymity, Access Control Mechanism, ?-diversity

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Publication Details

Published in : Volume 2 | Issue 4 | July-August - 2016
Date of Publication Print ISSN Online ISSN
2016-08-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
69-72 IJSRSET1623208   Technoscience Academy

Cite This Article

Suyog Vilas Patil, Prof. K. B. Manwade, "Privacy Preserving Updates for Anonymzation Data Using ℓ -Diversity", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.69-72, July-August-2016.
URL : http://ijsrset.com/IJSRSET1623208.php

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