Engineering Scalable, Secure, Multi-Tenant Cloud for Healthcare Data

Abstract

Cloud-based analytics allow for inexpensive processing of large amount of data. However, processing protected health information (PHI) in cloud is a challenging task due to strict regulations (e.g., HIPAA) requiring features (e.g., dataisolation) which most cloud-based platforms do not currentlysupport in their offerings. This makes it difficult to… (More)
DOI: 10.1109/SERVICES.2017.13

Topics

1 Figure or Table

Cite this paper

@article{Dean2017EngineeringSS, title={Engineering Scalable, Secure, Multi-Tenant Cloud for Healthcare Data}, author={Daniel Joseph Dean and Rohit Ranchal and Yu Gu and Anca Sailer and Shakil Khan and Kirk A. Beaty and Senthil Bakthavachalam and Yichong Yu and Yaoping Ruan and Paul Bastide}, journal={2017 IEEE World Congress on Services (SERVICES)}, year={2017}, pages={21-29} }