A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds

Abbas, Abdulla; Khan, Samee U.

doi:10.1109/jbhi.2014.2300846

Cited by 296 publications

(144 citation statements)

References 56 publications

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“…Cloud not just facilitating the hospitals but also act as medical record center. Furthermore, cloud provide ease to organization from infrastructure development and maintenance cost [26]. It has opened new opportunities to access and manage health care data globally.…”

Section: Literature Reviewmentioning

confidence: 99%

Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities

Kunwal¹,

Malik²,

Saeed³

et al. 2017

ijacsa

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Abstract-Cloud computing is emerging technology and its usage in health sector is marvelous. It enhances the patient treatment process and allows the physicians to get remotely access to patient medical record anywhere and anytime. Numerous cloud based solution are working currently and offering facilities to people in rural area of developing countries. It is estimated by global healthcare that within few years of adoption of cloud in health sector will increase drastically whereas cloud based health services have opportunities and challenges as well. Privacy, security, interoperability and standards are the factors that influence cloud computing in ehealth. For cloud adoption, organization must understand the existing requirements and make strategy for further development. Cloud offers service and deployment model, each organization select the appropriate model according to their requirements. Interesting thing in cloud is that the responsibility is shared among provider and customer from usage perspective. For initiation of whole procedure service level agreement is signed among customer and provider. Organization can access the cloud services from multiple providers. Hybrid cloud computing is best suitable architecture for health organizations. The whole scenario will provide ease to physician and patient and maximize the work production.

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Section: Literature Reviewmentioning

confidence: 99%

Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities

Kunwal¹,

Malik²,

Saeed³

et al. 2017

ijacsa

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“…Abbas et al [82] summarized the security and privacy requirements for cloud-based applications in healthcare and biomedicine fields in the following way:…”

Section: 4mentioning

confidence: 99%

Cloud Computing in Healthcare and Biomedicine

Calabrese¹,

Cannataro²

2015

SCPE

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Abstract. High throughput platforms available in clinical settings or in research laboratories, such as magnetic resonance imaging, microarray, mass spectrometry and next-generation sequencing, are producing an increasing volume of clinical and omics data that poses new issues in terms of secure data storage, models for data integration and analysis, and high performance computing. Cloud Computing offers large scalable computing and storage, data sharing, on-demand anytime and anywhere access to resources and applications, and it supports easy but powerful distributed computing models, for facing those issues. In fact, in the recent years it has been adopted for the deployment of several applications in healthcare and bioinformatics both in academia and in the industry. However, cloud computing presents several issues regarding the security and privacy of data, that are particularly important when analyzing patients data, such as in personalized medicine. This paper reviews main cloud-based healthcare and biomedicine applications; with a special focus on healthcare, biomedicine and bioinformatics solutions and underlines main issues and problems related to the use of such platforms for the storage and analysis of patients data.

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“…Most of the healthcare organizations have begun transferring their electronic health information to the cloud environment. Assad Abbas et al [20] have proposed a cloud service in the health sector, wherein, the cloud serves as a medical record storage center along with the ability to perform the transfer of electronic medical records between various hospitals and health centers.…”

Section: Zhifeng Xiao and Yang Xiao [16]mentioning

confidence: 99%

A Modified Heuristic-Block Protocol Model for Privacy and Concurrency in Cloud

Bhardwaj¹,

Surinder²,

Mahajan³

2015

ijacsa

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Abstract-With boost in the figure of cloud users and the magnitude of sensitive data on cloud, shielding of cloud has become more important. Competent methods are consistently desirable to ensure the information privacy and load management of outsource data on un-trusted cloud servers. The base of our proposed idea is the chronological display of metaheuristic firefly algorithm and blocks based Merkle hash tree protocol. This pool of combination significantly reduces the communication delay and I/O costs. The projected scheme in addition considers the dynamic data operations at block level while maintaining the equivalent security assurance. Our method makes use of third party auditor to periodically verify the data stored at cloud provider side. Our elucidation removes the burden of verification from the user side and alleviates both the user's and storage service's fear about data outburst and data corruptions.

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A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds

Cited by 296 publications

References 56 publications

Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities

Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities

Cloud Computing in Healthcare and Biomedicine

A Modified Heuristic-Block Protocol Model for Privacy and Concurrency in Cloud

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