Algorithms for Anonymization Principles to Achieve Better Privacy in Data Publication

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Provided by: International forum of researchers Students and Academician
Topic: Big Data
Format: PDF
ANGEL, a technique used for data publication. It publishes the original data in the form of BT (Batch Table) and GT (Generalized Table). This Technique uses anonymization principles such as k-anonymity and l-diversity. This paper also uses an advanced anonymization principle called t-closeness for smaller data sets and (n, t)-closeness for larger data sets in ANGEL Technique. There are no published algorithms for all the above principles. This paper describes algorithms for the principles such as k-anonymity, l-diversity and t-closeness and also proposes a solution to achieve more privacy and reduces the loss of information.
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