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Computer Science

Haphazard, enhanced haphazard and personalised anonymisation for privacy preserving data mining on sensitive data sources

M. Prakash, G. Singaravel

2018.10.1International Journal of Business Intelligence and Data Mining

DOI: 10.1504/ijbidm.2018.094983

tlooto Summary

Haphazard anonymisation, enhanced haphazard anonymisations and personalised anonymisation are proposed for privacy and utility preservation and are evaluated based on vulnerability to attacks, efficiency and data utility.

Abstract

Abstract is not available.

Citation format

PRAKASH, M.; SINGARAVEL, G. Haphazard, enhanced haphazard and personalised anonymisation for privacy preserving data mining on sensitive data sources. International Journal of Business Intelligence and Data Mining, 2018, 13: 456.