Privacy Preservation in Healthcare Monitoring System
Mangore Anirudh K1, M Roberts Masillamani2

1Mangore Anirudh K, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.

2M. Roberts Masillamani, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, (Tamil Nadu), India.

Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 682-688 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61510486S19/19©BEIESP

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Abstract: Indexing might make a technique to process of Information confidentiality; acceptability and integrity with healthcare which is necessary to get the thought for engaging the healthcare which needs to get the thought for enabling and empowering the healthcare system progressively reliable, increasingly successful as far as improvement of medical science and relieving large number of patients at once forecasting the possible medical problem and diseases. There square measure numerous challenges to implement indexing algorithmic rule like execution time, memory demand, and computation power. So as to make sure the consistency and nobility of big data in Health monitoring system. We are using the HMAC-SHA256 and Selective Encryption Algorithm to develop security on healthcare dataset and authentication of the entire Healthcare dataset. In the paper, the experimental demonstrated that a values of the HASH will change if the dataset turned into a distinct value. Therefore, it can firmly demonstrate that our proposed algorithm can help to check the consistency and integrity of dataset before access.

Keywords: Cloud Computing, Healthcare, Medical, Privacy and Security, SS-Tree.
Scope of the Article: Computer Science and Its Applications