Dynamic control of entropy and power consumption in TRNGs for IoT applications

Abstract

In this article we present a study about how to obtain a trade-off between two important metrics for IoT systems -Security vs Power Consumption. More specifically, we have studied how the min-entropy of two True-Random number generators can be adjusted dynamically in order to reduce the power consumption while guaranteeing the integrity of the system. To that end, we make use of some statistical tests that are typically used to measure the quality of the RNGs. Clock-gating and enable-gating are the selected techniques to reduce the power consumption.