Security Challenges Associated with Big Data in Health Care System
N. Nagalakshmi1, G. L. Anand Babu2, K. S. Reddy3, T. Ashalatha4
1N. Nagalakshmi*, Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India.
2G.L. Anand Babu, Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India.
3Dr. K.S. Reddy, Professor & Head, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India.
4T.Ashalatha, Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4057-4060 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1296109119/2019©BEIESP | DOI: 10.35940/ijeat.A1296.109119
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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: The way organisations handle, evaluate and leverage information in any sector has essentially altered with big data. Healthcare is one of the most promising fields where big data can be used to create a change. In this paper, as applied to the healthcare industry, we surveyed the state-of – the-art security challenges in big data, assessed how security issues arise in the case of large healthcare data, and discussed ways to address them. We concentrated primarily on the lately suggested anonymization and encryption techniques, their strengths and constraints, and envisaged future directions for studies.
Keywords: Anonymization, Big Data healthcare, Encryption, Security.