Big Data Security Analytics in Clinical Data using Cryptographic Algorithms
Steena Gracious1, Geethu Nandanan2, Dagma K. R3, Hari Narayana AG4
1Steena Gracious, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
2Geethu Nandanan, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
3Dagma K R, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
4Hari Narayanan A G, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
Manuscript received on 11 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 107-110 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1819058119/19©BEIESP | DOI: 10.35940/ijrte.A1819.078219
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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: With increasing apprehension and concerns of cloud computing and information security, awareness about the use of security algorithms in data systems and processes is indispensable. The objective of this paper is to examine a set of cryptographic algorithms for cloud platforms to secure clinical data. The main benefits of cloud storage are scalability, resilience, cost efficiency, high reliability and easy access to your knowledge anyplace, anytime. Because of these benefits every organization is moving its data to the cloud. So there is a necessity to protect that data against unauthorized access, modification or denial of access etc. we analyzed the use of cryptography in securing clinical data sets using evaluation parameters such as computing memory, encryption time and decryption time.
Index Terms: Cryptography in Clinical Data, AES, ECC, DES, RSA Algorithms.
Scope of the Article: Big Data Analytics and Business Intelligence