Article thumbnail

A 1-bit Physically Unclonable Function based on a two-neurons CNN

By Tommaso Addabbo, Ada Fort, Mauro DI MARCO, Luca Pancioni and Valerio Vignoli

Abstract

We propose to exploit a two-neurons Cellular Neural Network (CNN) to design a basic 1-bit Physically Unclonable Function (PUF). The analysis discussed in this work, derived from the general theory of CNNs, has been validated by experimental results

Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2013
DOI identifier: 10.1109/ISCAS.2013.6572393
OAI identifier: oai:usiena-air.unisi.it:11365/45779
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://hdl.handle.net/11365/45... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.