Low Energy Trusted Private Sensing Using Shared Hardware Random Number Generators

For remote deployment of sensors in potentially hostile environments it is crucial to both ensure that the data is private and trust that the data originated from the sensor in question, at the alleged time and location of sensing, and without tampering. However, another critical requirement is to minimize energy consumption in computation and communication. We satisfy these often contradictory requirements by employing one set of matched public physical unclonable functions (PPUFs) to establish privacy and trust in data, time, and location and another to create a shared hardware random number generator (HRNG) for random challenge generation.