@misc{shin:senseright-paper,
    author = {Minho Shin and David Kotz and Apu Kapadia and Patrick Tsang and
Cory Cornelius and Dan Peebles},
    title = {High-integrity Medical Sensing for Remote Health Monitoring},
    year = {2009},
    month = {June},
    publisher = {ACM Press},
    copyright = {the authors},
    howpublished = {In preparation},
    abstract = {As healthcare in developed countries faces increasing demand due
to an aging population and rising costs, mobile and sensing technologies
promise a new opportunity; health providers can deliver healthcare services
to the homes and workplaces of patients with low-cost equipment \emph{and}\/
improved quality. Recently, the research community and government regulators
rightly recognized the importance of the security and privacy of remote
healthcare systems. In particular, while protecting data integrity and
delivering reliable information to health providers is important, it is
challenging to achieve because of the nature of low-cost and remote sensors,
which are untrustworthy devices out of the control of providers. \par We
present SenseRight, our scheme to provide three main integrity properties:
\emph{platform integrity} protects mobile phones and sensors from compromise;
\emph{temporal integrity} certifies the timings of sensor readings and their
simultaneity; and \emph{spatial integrity} alleviates attempts to misguide
the system with fraudulent sensor locations. SenseRight achieves its goal by
providing a certification architecture in conjunction with tamper-resistant
hardware, a secure pairing protocol, a time-aware adaptive collection
protocol, and secure frequency hopping. We evaluate the feasibility of
SenseRight by experimenting with state-of-the-art medical sensor board
(SHIMMER by Intel) and mobile computing devices (Nokia N800/N810). Results
show that SenseRight imposes minimal performance overhead onto existing
mechanisms and its adaptive collection protocol significantly improves timing
error of unreliable sensor clocks.}
}