IEEE TRANSACTIONS ON
PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 24, NO. 3, March 2013
Technology
- Available in J2EE and Android
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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