A Survey on Centralised and Distributed Approaches for Subtree Anonymization

Bhushan Kakad, Jai Patil · Procedia Computer Science · 2016

Nowadays, data privacy is the most important task, mainly on large scale data set. Two approaches BUG and TDS are the two ways to do anonymization through classification as both are iterative processes. Both the approaches are good for certain value of k anonymity parameter, but not all the values of k. If we combine both the BUG and TDS, results are in the form of high gain scalability. So this hybrid approach is used to increase the efficiency as well as improve the scalability. But these are centralised approaches and suffers from the scalability problem. So TPTDS and MRTDS Framework are introduced for these purpose. In this paper we discuss the this popular centralised and distributed approaches for sub tree anonymization.

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