Security Models and Requirements for Healthcare Application Clouds

By Rui Zhang, Ling Liu. IEEE International Conference on Cloud Computing, 2010

430 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/df94b8f34538b0cc679e8284dd27b149397524d0

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Citations in the corpus

Security and privacy in electronic health records: A systematic literature review (2013, methodology): “A total of 35 articles use access control models, of which 27 refer to RBAC [27,30,33,34,36–39,41,44,45,47,54–56,60,61,63,65,66, 69–71,74,75,77,78] which is, therefore, the access control model par excellence.”
Opportunities and Challenges of Cloud Computing to Improve Health Care Services (2011, background): “Each service type or deployment model has its own benefits and risks [55].”
Big healthcare data: preserving security and privacy (2018, background): “For instance [23], transport layer security (TLS) and its predecessor, secure sockets layer (SSL), are cryptographic protocols that provide security for communications over networks such as the Internet.”
A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, background): “In addition, a patient may register with several health insurance companies for different types of insurances, such as medical, dental, and vision [11].”
SGX-LKL: Securing the Host OS Interface for Trusted Execution (2019, methodology): “ivious disk I/O, SGXLKL uses an encrypted ext4 ﬁle system with shufﬂed disk blocks. We show that SGX-LKL protects TensorFlow training with a 21% overhead. 1 Introduction In domains such as healthcare [3,73,107] and ﬁnance [20,53], it is challenging to run sensitive workloads in public cloud environm”
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research (2019, background): “In a healthcare system, patient medical data are organized in EHRs, which are considered the building blocks of a large distributed medical storage [77].”