Research on privacy preserving models for efficient healthcare big data sharing in cloud

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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.

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Suguna, M., Prakash, D., & Shobana, G. (2019). Research on privacy preserving models for efficient healthcare big data sharing in cloud. International Journal of Engineering and Advanced Technology, 8(6 Special issue), 88–90. https://doi.org/10.35940/ijeat.F1018.0886S19

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