Abstract
The m-healthcare system can benefit medical users by providing high-quality pervasive healthcare monitoring, the growing of m-healthcare system is still strange on how we fully understand and manage the challenges facing in this m-healthcare system, especially during a medical emergency. In this paper, we propose a new secure and privacy-preserving opportunistic computing framework, called SPOC, to address this challenge. With the help of our proposed SPOC framework, each medical user who is in an emergency can achieve the user-centric privacy access control to allow only those qualified helpers to participate in the opportunistic computing to balance the high reliability of PHI process and minimizing PHI privacy disclosure in m-Health care emergency. We introduce an efficient user-centric privacy access control in SPOC framework, which is based on an attribute-based access control and a new privacy-preserving scalar product computation (PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to assist in processing his great PHI data.
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Ramya, P., Naga Sravanthi, P., Kumar, M.M. (2019). Reliable Healthcare Monitoring System Using SPOC Framework. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 74. Springer, Singapore. https://doi.org/10.1007/978-981-13-7082-3_45
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DOI: https://doi.org/10.1007/978-981-13-7082-3_45
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