Title :
A demonstration circuit implementing 1-bit Physically Unclonable Functions based on two-neurons CNNs
Author :
Addabbo, Tommaso ; Fort, Ada ; Di Marco, Mauro ; Pancioni, Luca ; Vignoli, Valerio
Author_Institution :
Dept. of Inf. Eng. & Math. Sci., Univ. of Siena, Siena, Italy
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.
Keywords :
cellular neural nets; nonlinear dynamical systems; cellular neural networks; demonstration circuit; low-complexity nonlinear dynamical system; physically unclonable functions; storage capacity 1 bit; two-neurons CNNs; Cellular neural networks; Circuits and systems; Digital control; Neurons; Nonlinear dynamical systems; Resistors; Trajectory;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888608
