A SURVEY ON PRIVACY PRESERVATIONTECHNIQUES FOR DATA CLUSTERING K-MEANS OVER LARGE-SCALE DATASET.

Cloudcomputing supports different handling of Big-Data applications in such divisions like human services and Sports and so on. Data sets like electronic wellbeing records is regularly contain protection touchy data, which achieves security concerns possibly if the data is discharged/shared to outsiders in cloud. A functional and broadly received procedure for protection safeguarding is to anonymize information by means of speculation to fulfill a given security demonstrates. In this paper, we propose a viable security safeguarding K-implies grouping plan that can be effectively outsourced to cloud servers. The present work permits cloud servers to perform bunching specifically finished encoded datasets, while achieving comparable computational complexity and accuracy compared with clustering's over unencrypted ones. In addition to existing techniques, MapReduce approach also combined in this paper, which makes this work greatly appropriate for MapReduce condition. Differentially security approach ensures the results of questions to a database, which will expand the versatility and time proficiency over existing methodologies. [ABSTRACT FROM AUTHOR]