Adaptive security and privacy for mHealth sensing
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Shrirang Mare, Jacob Sorber, Minho Shin, Cory Cornelius, and David Kotz.
Adaptive security and privacy for mHealth sensing.
Proceedings of the USENIX Workshop on Health Security (HealthSec), 5 pages.
USENIX Association, August 2011.
©Copyright the authors.
Short paper.
Later revised as mare:hns-tr.
Abstract:
As healthcare in many countries faces an aging population and rising costs, mobile Health (mHealth) sensing technologies promise a new opportunity. However, the privacy concerns associated with mHealth sensing are a limiting factor for their widespread adoption. The use of wireless body area networks pose a particular challenge. Although there exist protocols that provide a secure and private communication channel between two devices, the large transmission overhead associated with these protocols limit their application to low-power mHealth sensing devices. We propose an adaptive security model that enables use of privacy-preserving protocols in low-power mHealth sensing by reducing the network overhead in the transmissions, while maintaining the security and privacy properties provided by the protocols.
Citable with [BibTeX]: \cite{mare:healthsec11} Projects: [tish] Keywords: [mhealth] [privacy] [security] [wearable] [wifi] Available from the author:
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