Journal
IEEE ACCESS
Volume 6, Issue -, Pages 47657-47665Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2018.2856896
Keywords
Internet of Medical Things; fog computing; privacy-aware; fine-grained data access control; privacy time optimization
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The recent development of cloud computing has empowered the Internet-based services, which enable users to gain a broad scope of access to their applications, such as Internet of Medical Things (IoMT). Considering the efficiency performance, the privacy protection is often kept at a lower level in order to ensure the application can offer a higher level performance. However, this mechanism also causes a serious concern of privacy hazards due to the information over collections operated by apps/applications. Addressing this privacy issue, this paper proposes an approach that is designed to provide high-level privacy protection without lowering down the efficiency in cloud/fog computing (especially in biological systems of IoMT). The proposed model is called fog-based access control model. The fine-grained data access control is combined with the implementation of fog computing in the proposed approach. Our simulation experiment has shown that our approach could offer high-level privacy protection within a shortened execution time, thus it can be useful for IoMT-based applications.
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