Jun 17, 2015 · In this work, we present a stochastic model for metastability based TRNG circuit incorporating both the impact of intra-die variations and ...
A stochastic model is used to estimate the expected entropy out of a TRNG at a given process corner for variations in channel length and threshold voltage ...
The model facilitates efficient circuit optimization by providing a comparison of the upper bound on entropy and the lower bound on energy/bit for a given ...
In this work, we present a stochastic model for metastability based TRNG circuit incorporating both the impact of intra-die variations and thermal noise. The ...
The analysis thereby demonstrates that circuit calibration provides an efficient tradeoff between entropy and energy/bit for removing bias in lightweight TRNG.
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Entropy and Energy Bounds for Metastability Based TRNG with Lightweight Post-Processing. VB Suresh, WP Burleson. IEEE Transactions on Circuits and Systems I ...
Burleson, Entropy and Energy Bounds for Metastability based TRNG with Lightweight Post-processing, IEEE Transactions on Circuits and systems I, July 2015.
TRNGs with metastability as the entropy source usually require significant hardware resources and additional post-processing circuitry, making it difficult to ...
This provides easiness about the practical use of TRNG in today's lightweight architecture and applications where energy consumption is an important problem.
Entropy and Energy Bounds for Metastability Based TRNG with Lightweight Post-Processing · On Improving Reliability of SRAM-Based Physically Unclonable Functions.