Abstract
Big data is a huge collection of data, which are larger in size. It assembles many techniques and technologies to uncover the needed values from a larger data set. Big data needs a large server to store the data which is higher in cost and also there is a need for maintenance. Cloud server can be a key for this problem. It has the capability of large scale storage management. But it is a third party service, so the apprehension here is the data security. Data can be secured from the cloud server by strong encryption methodologies. All data doesn’t need a high data security, so first we need to classify the data into sensitive and insensitive data. Sensitive data alone needs a proper attention over threats. This paper focuses on the identification of sensitive data within an acceptable computation time.
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