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Sensitive data protection on big data using encryption algorithm

Author: 
Vimala Roselin, J. and Dr. G. M. Nasira
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Big data concern extremely large volume and complex data both structured and unstructured to reveal patterns and trends. The organisation procure large data storage, data delivery on semi-trusted big data sharing platform. An enterprise can obtain huge amount of sensitive data by storing, analysing, processing these data. In digital world, keeping sensitive data secure from theft and vulnerability is very difficult .This abstract proposes a framework for secure sensitive data sharing on a big data platform using effective encryption algorithm. We present an identity based conditional proxy encryption based on heterogeneous cipher text transformation. It protects security of user’s sensitive data on big data platform.

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