Enhancement of Big Data Privacy Preserved of Map Reduce by Using Data Anonymization Technique
Ashutosh Dixit, Rajeev Kumar · SSRN Electronic Journal · 2019
The objective of the present research paper is to provide the services to clients about the imparting private information like Electronic wellbeing records for information or mining, going with security concerns a wide number of cloud administrations. It is set through speculation to give anonymous information and fulfill specific security prerequisites, for example, k. k anonymous mostly provides classification of protection protecting procedures. In the present time, according to big data pattern the size of information increases in multiple cloud application. It is a test for generally utilized programming device to catch, oversee and processing such huge scale of information inside an average glided by time. It is a test for persisting anonymization ways to reach for protection and security of fragile but it is delicate extensive scale information sets because of its lack of flexibility. The present research work is worker node process that contacts to the cache manager every time before it starts processing an input data file. The file name and operations make plan for the application of the file to cache manager is sent by the worker node process. The cache manager mechanically spots the best-matched cache items for feeding every reducer, which is in the original input file in the maximum overlapping in the map phase.