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Authors
Affiliations
1 Manonmaniam Sundaranar University, Tirunelveli, TN, IN
2 Sree Sastha Institute of Engineering and Technology, Chennai, TN, IN
3 St. Xavier’s College, Palayamkottai, TN, IN
Source
Data Mining and Knowledge Engineering, Vol 10, No 2 (2018), Pagination: 25-27
Abstract
Big data is widening its popularity among data handlers. Hadoop has its own security measures as the top priority. But still it can be augmented with additional security features in the areas where we can identify threats and improvise its security features, so that authentic users can feel better safety on their data. Because data that come from heterogeneous sources have their importance felt at their originating point, under idealistic circumstances, we expect full privacy and security will be ascertained on our data while it is being stored and maintained in common storage. In order to provide such a kind of satisfaction, in this paper we try to identify the areas where security can further be enhanced. Also, we discuss with the threats or challenges that may be imposed in this move. For such situations we suggest remedial counter actions to get out of them.
Keywords
Big Data, Security, Privacy, Hadoop, Map Reduce.
