Hardware-Efficient Post-Processing Architectures for True Random Number Generators

In this brief we present novel post-processing modules for use in true random number generators (TRNGs). These modules are based on mathematical constructs called strong blenders, which provide theoretical guarantees for the randomness of the output. We start by pointing out problems with current post-processing methods used in state-of-the-art TRNG designs. We present three novel hardware-efficient architectures and provide guidelines for choosing the design parameters.