A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Misusability Measure Based Sanitization of Big Data for Privacy Preserving MapReduce Programming
International Journal of Electrical and Computer Engineering (IJECE)
Leakage and misuse of sensitive data is a challenging problem to enterprises. It has become more serious problem with the advent of cloud and big data. The rationale behind this is the increase in outsourcing of data to public cloud and publishing data for wider visibility. Therefore Privacy Preserving Data Publishing (PPDP), Privacy Preserving Data Mining (PPDM) and Privacy Preserving Distributed Data Mining (PPDM) are crucial in the contemporary era. PPDP and PPDM can protect privacy at datadoi:10.11591/ijece.v8i6.pp4524-4532 fatcat:duj3tpetrvhdverguqhyvrvcim