Document Type

Conference Paper

Publication Date


Publication Title

USENIX Workshop on Health Security (HealthSec)


Department of Computer Science


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.

Original Citation

Shrirang Mare, Jacob Sorber, Minho Shin, Cory Cornelius, and David Kotz. Adaptive security and privacy for mHealth sensing. In USENIX Workshop on Health Security (HealthSec), August 2011.