Authentic and Anonymous Data Sharing with Data Partitioning in Big Data

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Mr. Shriniwas Patilbuwa Rasal, Prof. Hingoliwala Hyder Ali

Abstract

A Hadoop is a framework for the transformation analysis of very huge data. This paper presents an distributed approach for data storage with the help of Hadoop distributed file system (HDFS). This scheme overcomes the drawbacks of other data storage scheme, as it stores the data in distributed format. So, there is no chance of any loss of data. HDFS stores the data in the form of replica’s, it is advantageous in case of failure of any node; user is able to easily recover from data loss unlike other storage system, if you loss then you cannot. We have proposed ID-Based Ring Signature Scheme to provide secure data sharing among the network, so that only authorized person have access to the data. System is became more attack prone with the help of Advanced Encryption Standard (AES). Even if attacker is successful in getting source data but it’s unable to decode it.

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How to Cite
, M. S. P. R. P. H. H. A. (2017). Authentic and Anonymous Data Sharing with Data Partitioning in Big Data. International Journal on Recent and Innovation Trends in Computing and Communication, 5(11), 250 –. https://doi.org/10.17762/ijritcc.v5i11.1308
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