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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

lightweight electronics

biblio

Visible to the public A Machine Learning Attacks Resistant Two Stage Physical Unclonable Functions Design

Submitted by grigby1 on Mon, 06/10/2019 - 1:55pm
  • mirrors
  • Transistors
  • traditional approaches
  • stage physical unclonable functions design
  • security of data
  • security applications
  • security
  • Resiliency
  • resilience
  • Reliability
  • PUF
  • pubcrawl
  • privacy
  • physical unclonable function (PUF)
  • modelling attacks
  • 32-bit current mirror
  • Mathematical model
  • machine learning attacks
  • machine learning
  • lightweight electronics
  • learning (artificial intelligence)
  • Hash functions
  • enhancing security
  • Current Mirror PUF
  • Cryptography
  • composability
  • CMOS integrated circuits
  • asynchronous circuits
  • Arbiter-PUF
  • 65nm CMOS technology

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