We present a demonstration circuit implementing four instances of 1-bit Physically Unclonable Function based on a low-complexity nonlinear dynamical system inspired by Cellular Neural Networks.
Addabbo, T., Fort, A., DI MARCO, M., Pancioni, L., Vignoli, V. (2014). A demonstration circuit implementing 1-bit Physically Unclonable Functions based on two-neurons CNNs. In International Workshop on Cellular Nanoscale Networks and their Applications (pp.1-2). New York : IEEE Computer Society [10.1109/CNNA.2014.6888608].
A demonstration circuit implementing 1-bit Physically Unclonable Functions based on two-neurons CNNs
ADDABBO, TOMMASO;FORT, ADA;DI MARCO, MAURO;PANCIONI, LUCA;VIGNOLI, VALERIO
2014-01-01
Abstract
We present a demonstration circuit implementing four instances of 1-bit Physically Unclonable Function based on a low-complexity nonlinear dynamical system inspired by Cellular Neural Networks.File in questo prodotto:
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https://hdl.handle.net/11365/982507
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