Research on Privacy Preserving Models for Efficient Healthcare Big Data Sharing in Cloud
Suguna. M1, Prakash D2, Shobana G3
1Suguna M, Assistant Professor, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Prakash D, Research Scholar, Anna University, Chennai (Tamil Nadu), India.
3Shobana G, Assistant Professor, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 88-90 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10180886S19/19©BEIESP | DOI: 10.35940/ijeat.F1018.0886S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Healthcare data is highly confidential and thus sharing of those data is complex. But to diagnose a patient, the professionals need to access their healthcare data. Those data will be in the form of Electronic Medical Record (EMR) which includes multimedia data like X-ray, Scan and ECG. Size of the EMR is rapidly growing thus it is to be stored in format of Big Data. Major issue in Big Data is privacy, as EMR is taken into account a tiny change in data could create a larger impact. Data theft attack is considered to be the serious security breaches of Big Data. On the other hand, limiting the access of EMR must not restrict the data flow within the authorized users.
Keywords: Electronic Medical Record (EMR), KP-ABE Algorithm, Big Data.
Scope of the Article: Big Data Application Quality Services