all InfoSec news
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks. (arXiv:2207.10816v1 [cs.CR])
July 25, 2022, 1:20 a.m. | Noeloikeau Charlot, Daniel J. Gauthier, Daniel Canaday, Andrew Pomerance
cs.CR updates on arXiv.org arxiv.org
We introduce a mathematical framework for simulating Hybrid Boolean Network
(HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the
model is able to reproduce the experimentally observed PUF statistics for
uniqueness $\mu_{inter}$ and reliability $\mu_{intra}$ obtained from
experiments of HBN-PUFs on Cyclone V FPGAs. Our results suggest that the
HBN-PUF is a true `strong' PUF in the sense that its security properties depend
exponentially on both the manufacturing variation and the challenge-response
space. Our Python simulation methods are open-source …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Cyber Systems Administration
@ Peraton | Washington, DC, United States
Android Security Engineer, Public Sector
@ Google | Reston, VA, USA
Lead Electronic Security Engineer, CPP - Federal Facilities - Hybrid
@ Black & Veatch | Denver, CO, US
Profissional Sênior de Compliance & Validação em TI - Montes Claros (MG)
@ Novo Nordisk | Montes Claros, Minas Gerais, BR
Principal Engineer, Product Security Engineering
@ Google | Sunnyvale, CA, USA