Enhanced Data Sensıtıvıty Usıng HOPCM Algorıthm

Abstract

Confidentiality has become a   considerable concern when the application of enormous records are dramatically growing in cloud computing. The profit of the accomplishment for these innovating expertise have promote or misused verify demonstration and add to submission recital in various perspective. On the other hand, the outstandingly increasing amount of data sizes has also resulted in much face up to in put into practice. The completing time of the facts are transformed into another format is one of the most important topic for the duration of the data giving out and communication. To make certain the secrecy of serene data, there is an necessitate to avoid susceptible data from success the mistaken by make positive that the correct set are organism compensated it. The required information’s are for perpetuity associated to miscellaneous sensitivity plane carry the sympathy the wanted data categories. a discriminatory encyper  method to protect and that it can drastically improve the good organization and cushion tradition at DSM lacking concession the discretion and truthfulness of the data brook.

Keywords: BigData, Hadoop, Map, Reduce, SEEN, ABE