Privacy and Classification Of Analyzed Data Using EMD

Abstract

In recent years many researchers issued on data publishing with recommended settings .But privacy is a key issue here. Existing techniques such as K-anonymity and L-diversity should not provide effective and sufficient results for privacy preserving in data publishing. So in this paper we propose tree base algorithm for providing security, In this technique we arrange the data in tree based format for closeness of a data publishing and for retrieving data in sequential order. Our techniques also improved more security to micro data publishing and retrieving relevant information from micro data using attribute disclosure.

Authors and Affiliations

T. Sravya| Dept of CSE, S.R.K.Institute Of Technology, Enikepadu, Krishna dist, AP, India email:thota.sravya@gmail, G. Appa Rao| Dept of CSE, S.R.K.Institute Of Technology, Enikepadu, Krishna dist, AP, India, appu.prem05@gmail.com

Keywords

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  • EP ID EP16385
  • DOI -
  • Views 395
  • Downloads 30

How To Cite

T. Sravya, G. Appa Rao (2014). Privacy and Classification Of Analyzed Data Using EMD. International Journal of Science Engineering and Advance Technology, 2(11), 755-758. https://europub.co.uk./articles/-A-16385