A systematic literature review of cloud computing in eHealth

Cloud computing in eHealth is an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13); (2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications

Protocols for Secure Computation on Privately Encrypted Data in the Cloud

Cloud services provide clients with highly scalable network, storage, and computational resources. However, these service come with the challenge of guaranteeing the confidentiality of the data stored on the cloud. Rather than attempting to prevent adversaries from compromising the cloud server, we aim in this thesis to provide data confidentiality and secure computations in the cloud, while preserving the privacy of the participants and assuming the existence of a passive adversary able to access all data stored in the cloud. To achieve this, we propose several protocols for secure and privacy-preserving data storage in the cloud. We further show their applicability and scalability through their implementations. we first propose a protocol that would allow emergency providers access to privately encrypted data in the cloud, in the case of an emergency, such as medical records. Second, we propose various protocols to allow a querying entity to securely query privately encrypted data in the cloud while preserving the privacy of the data owners and the querying entity. We also present cryptographic and non-cryptographic protocols for secure private function evaluation in order to extend the functions applicable in the protocols