Abstract
Big data, can mine new knowledge for economic growth and technical innovation. Big data processing is emerging faster due to its high volume, velocity, and variety (referred to as “3V”) challenges. The flourishing of big data also hinges on fully understanding and managing newly arising security and privacy challenges. If the data is not authentic, new mined knowledge will be unconvincing. If privacy is not well addressed, people may be reluctant to share their data. Because security has been investigated as a new dimension, “veracity,” in big data. In this project we formalize the general architecture of big data analytics, identify the corresponding privacy requirements, and introduce an efficient and privacy Triple DES as an example in response to the security and privacy requirements in the data stored in cloud by health care systems.
Keywords
Triple DES
De –identification
Server authentication
Database Encryption.
Authors
How to Cite this Article
Abinaya.J, Chitra.R, Sangeetha.B, Sree Keerthi.V.K (2016).
"THREE LEVEL ENCRYPTION SCHEME FOR CLOUD IN HEALTH CARE SYSTEMS".
International Journal of Contemporary Research in Computer Science and Technology,
2(3), pp. 622-625.
