  In this paper, we propose flash-based hardware security primitives as a
viable solution to meet the security challenges of the IoT and specifically
telehealth markets. We have created a novel solution, called the High and Low
(HaLo) method, that generates physical unclonable function (PUF) signatures
based on process variations within flash memory in order to uniquely identify
and authenticate remote sensors. The HaLo method consumes 60% less power than
conventional authentication schemes, has an average latency of only 39ms for
signature generation, and can be readily implemented through firmware on ONFI
2.2 compliant off-the-shelf NAND flash memory chips. The HaLo method generates
512 bit signatures with an average error rate of 5.9 * 10^-4, while also
adapting for flash chip aging. Due to its low latency, low error rate, and high
power efficiency, the HaLo method could help progress the field of remote
patient monitoring by accurately and efficiently authenticating remote health
sensors.
