SPOC: A Secure and Privacy-Preserving
Opportunistic Computing Framework
for Mobile-Healthcare Emergency
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 24, NO. 3, MARCH 2013
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Abstract—With the pervasiveness of smart phones and the advance of wireless body sensor networks (BSNs), mobile Healthcare
(m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has
attracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information
security and privacy preservation. In this paper, we propose a secure and privacy-preserving opportunistic computing framework,
called SPOC, for m-Healthcare emergency. With SPOC, smart phone resources including computing power and energy can be
opportunistically gathered to process the computing-intensive personal health information (PHI) during m-Healthcare emergency with
minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission
in m-Healthcare 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 overwhelming PHI data. Detailed
security analysis shows that the proposed SPOC framework can efficiently achieve user-centric privacy access control in m-
Healthcare emergency. In addition, performance evaluations via extensive simulations demonstrate the SPOC’s effectiveness in
term of providing high-reliable-PHI process and transmission while minimizing the privacy disclosure during m-Healthcare
emergency.
Index Terms—Mobile-healthcare emergency, opportunistic computing, user-centric privacy access control, PPSPC
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