Recently, a new class of circuits named Digital Nonlinear Oscillators (DNOs) has been proposed for the design of fully digital True Random Number Generators (TRNGs). In this work we discuss the low-level advanced design of TRNGs based on chaotic DNOs, specialized for FPGAs. In detail, starting from a specific DNO topology, we discuss technical solutions to implement these systems exploiting FPGA device primitives. The proposed solutions have been characterized by means of exhaustive measurement campaigns to assess and investigate the impact on the entropy of both chip-to-chip and intra-device variability.
Addabbo, T., Fort, A., Moretti, R., Mugnaini, M., Vignoli, V. (2022). Low-Level Advanced Design of True Random Number Generators Based on Truly Chaotic Digital Nonlinear Oscillators in FPGAs. In Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2021 (pp.180-186). Cham : Springer [10.1007/978-3-030-95498-7_25].
Low-Level Advanced Design of True Random Number Generators Based on Truly Chaotic Digital Nonlinear Oscillators in FPGAs
Addabbo T.;Fort A.;Moretti R.;Mugnaini M.;Vignoli V.
2022-01-01
Abstract
Recently, a new class of circuits named Digital Nonlinear Oscillators (DNOs) has been proposed for the design of fully digital True Random Number Generators (TRNGs). In this work we discuss the low-level advanced design of TRNGs based on chaotic DNOs, specialized for FPGAs. In detail, starting from a specific DNO topology, we discuss technical solutions to implement these systems exploiting FPGA device primitives. The proposed solutions have been characterized by means of exhaustive measurement campaigns to assess and investigate the impact on the entropy of both chip-to-chip and intra-device variability.
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https://hdl.handle.net/11365/1230777