An Integrated TRNG-PUF Architecture Based on Photovoltaic Solar Cells

Amit Degada, Himanshu Thapliyal

Research output: Contribution to specialist publicationArticle

5 Scopus citations


This article presents an integrated true random number generator (TRNG) and physically unclonable function (PUF) architecture using photovoltaic (PV) solar cells. We illustrate that the PV solar cell sensor response can be engineered into dynamic (TRNG) and static responses (PUF). The proposed prototype uses the iterative Von Neumann postprocessing scheme to produce random bits with 34% better throughput compared to a single Von Neumann operation. The random bit quality was checked by statistical test suites from the National Institute of Science and Technology and achieves an average p-value of 0.45 at all variations in light intensity. The PUF response achieves 92.13% reliability and 50.91% uniformity. The integrated TRNG-PUF architecture is beneficial for resource-constrained cyber-physical system.

Original languageEnglish
Number of pages7
Specialist publicationIEEE Consumer Electronics Magazine
StatePublished - Jul 2021

Bibliographical note

Funding Information:
This work was supported by National Science Foundation Grant: 1738662.

Publisher Copyright:
© 2012 IEEE.

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications
  • Electrical and Electronic Engineering


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