TPTD: Anonymization Of Large Scale Data Sets Using Map Reduce Jobs In Cloud
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 10
Abstract
Cloud computing provides huge computation power and storage for users Forwarding their sensitive data for analysis or mining. Due to privacy issues Anonymizing datasets with kanonymity technique is used. But now a day’s cloud applications facing problem with increased volumes of data .existing techniques are inefficient to provide privacy for large scale data and it uses centralized TDS approach. We present new technique two-phase top down specialization technique which anonymizes large datasets as map reduce jobs using map reduce framework in cloud. Finally it achieves scalability and efficiency.
Authors and Affiliations
Nukapayi Jessy Raman, T. Ramanjaneyulu
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