S. Vijayalakshmi, S. Jayasri, J. Surekha, P. Thilagavathi, Christ College of Engineering and Technology, Puducherry, India.
DOI : 01.0401/ijaict.2015.11.20
International Journal of Advanced Information and Communication Technology
Received On : April 14, 2018
Revised On : May 13, 2018
Accepted On : June 15, 2018
Published On : July 05, 2018
Volume 05, Issue 07
Pages : 906-908
Abstract
At present, the size of information in numerous cloud applications increments massively as per the Big Data pattern, in this way making it a test for usually utilized programming instruments to catch, oversee and process such expansive scale information inside a mediocre slipped by time. In huge information applications, information protection is a standout amongst the most concerned issues on the grounds that handling vast scale security delicate information sets frequently obliges processing force gave by open cloud administrations. Accordingly is challenge for existing anonymity ways to attain to protection conservation on security delicate huge scale information sets because of their inadequacy of versatility. In this paper we propose an adaptable Propelled Bottom up speculation approach for inform anonymity in light of Map Reduce on cloud.
Keywords
Data Anonymity, Bottom-up Generalization, Map-Reduce, cloud.
Cite this article
S. Vijayalakshmi, S. Jayasri, J. Surekha, P. Thilagavathi, “Data Anonymity using Bottom up Approach and Mapreduce on Cloud” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.906-908, July 05, 2018.
Copyright
© 2018 S. Vijayalakshmi, S. Jayasri, J. Surekha, P. Thilagavathi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited