Segregation of Sensitive Data in Cloud Storage
R. Sivagami1, A. Nagarajan2
1Ms.R.Sivagami, Research Scholar, Department of Computer Applications, Alagappa University, Karaikudi, India.
2Dr.A.Nagarajan*, Assistant Professor, Department of Computer Applications, Alagappa University, Karaikudi, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 367-369 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1339029420/2020©BEIESP | DOI: 10.35940/ijitee.D1339.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Big data, Cloud server, Data security, Sensitive data, Third party services.
Scope of the Article: Big Data Analytics