Cloud Based Reasoning Health Data using Homomorphic Encryption
S.Devi1, S.Poornima2, Kaviya Sri A.M3, Monisha Devi .G4, Mownika. M5
1S. Devi*, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India.
2S. Poornima, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India.
3Kaviya Sri.A.M, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India.
4Monisha Devi.G, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India.
5Mownika. M, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 16, 2020. | Manuscript published on May 30, 2020. | PP: 609-611 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9263038620/2020©BEIESP | DOI: 10.35940/ijrte.F9263.059120
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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: TCloud computing is an abundant heterogeneous paradigm. The clients are given access to cloud for storing large amount of data for many purposes. The major cloud security issues are data breaches, insider threat and insufficient due diligence etc. Most of the service providers save the Client data as a plain text format which makes the data less secured. Aim of the system is to protect the health data that are outsourced for storing in cloud. In this system, the data is encrypted using paillier cryptosystem before outsourcing, which preserves the privacy of patient’s health data. Computations are performed over this encrypted data using decision tree algorithm. The results are displayed on the client machine. Hence, it ensures the privacy preservation and cautions the patient about his health.
Keywords: Homomorphic encryption, Machine learning, Opennebula, Private cloud.
Scope of the Article: Machine learning