TY - GEN
T1 - The potential for machine learning analysis over encrypted data in cloud-based clinical decision support
AU - Basilakis, Jim
AU - Javadi, Bahman
AU - Maeder, Anthony
PY - 2015
Y1 - 2015
N2 - ![CDATA[In an effort to reduce the risk of sensitive data exposure in untrusted networks such as the public cloud, increasing attention has recently been given to encryption schemes that allow specific computations to occur on encrypted data, without the need for decryption. This relies on the fact that some encryption algorithms display the property of homomorphism, which allows them to manipulate data in a meaningful way while still in encrypted form. Such a framework would find particular relevance in Clinical Decision Support (CDS) applications deployed in the public cloud. CDS applications have an important computational and analytical role over confidential healthcare information with the aim of supporting decision-making in clinical practice. This review paper examines the history and current status of homomoprhic encryption and its potential for preserving the privacy of patient data underpinning cloud-based CDS applications.]]
AB - ![CDATA[In an effort to reduce the risk of sensitive data exposure in untrusted networks such as the public cloud, increasing attention has recently been given to encryption schemes that allow specific computations to occur on encrypted data, without the need for decryption. This relies on the fact that some encryption algorithms display the property of homomorphism, which allows them to manipulate data in a meaningful way while still in encrypted form. Such a framework would find particular relevance in Clinical Decision Support (CDS) applications deployed in the public cloud. CDS applications have an important computational and analytical role over confidential healthcare information with the aim of supporting decision-making in clinical practice. This review paper examines the history and current status of homomoprhic encryption and its potential for preserving the privacy of patient data underpinning cloud-based CDS applications.]]
UR - http://handle.uws.edu.au:8081/1959.7/564553
UR - http://thelivinglab.org.au/news/article/?id=australasian-workshop-on-health-informatics-and-knowledge-management-call-for-papers
M3 - Conference Paper
SN - 9781921770463
SP - 3
EP - 13
BT - Proceedings of the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2015), Sydney, Australia, 27-30 January 2015
PB - Australian Computer Society
T2 - Australasian Workshop on Health Informatics and Knowledge Management
Y2 - 27 January 2015
ER -