학술논문

A Low-Complexity Method to Address Process Variability in True Random Number Generators based on Digital Nonlinear Oscillators
Document Type
Conference
Source
2022 IEEE International Symposium on Circuits and Systems (ISCAS) Circuits and Systems (ISCAS), 2022 IEEE International Symposium on. :1670-1674 May, 2022
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Costs
Redundancy
Entropy
Generators
Hardware
Oscillators
Tuning
Language
ISSN
2158-1525
Abstract
We discuss a monitoring system aiming to select, among a set of integrated entropy sources affected by process variability, the source guarantying the highest worst-case entropy. The approach is particularly suitable when considering True Random Number Generators based on Digital Nonlinear Oscillators, since multiple instances of the entropy sources can be implemented at a reduced hardware cost. In general, the approach can be applied for TRNGs based on parametric systems, thus offering entropy tuning capabilities. The original theoretical results have been validated with experiments.