Physical unclonable functions: A primer
Abstract
Physical unclonable functions (PUFs) make use of the measurable intrinsic randomness of physical systems to establish signatures for those systems. Thus, PUFs provide a means to generate unique keys that don't need to be stored in nonvolatile memory, and they offer exciting opportunities for new authentication and supply chain security technologies.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1184579
- Report Number(s):
- SAND-2014-19298J
Journal ID: ISSN 1540-7993; 540880
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Security & Privacy
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 6; Journal ID: ISSN 1540-7993
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Bauer, Todd, and Hamlet, Jason. Physical unclonable functions: A primer. United States: N. p., 2014.
Web. doi:10.1109/MSP.2014.123.
Bauer, Todd, & Hamlet, Jason. Physical unclonable functions: A primer. United States. https://doi.org/10.1109/MSP.2014.123
Bauer, Todd, and Hamlet, Jason. Sat .
"Physical unclonable functions: A primer". United States. https://doi.org/10.1109/MSP.2014.123. https://www.osti.gov/servlets/purl/1184579.
@article{osti_1184579,
title = {Physical unclonable functions: A primer},
author = {Bauer, Todd and Hamlet, Jason},
abstractNote = {Physical unclonable functions (PUFs) make use of the measurable intrinsic randomness of physical systems to establish signatures for those systems. Thus, PUFs provide a means to generate unique keys that don't need to be stored in nonvolatile memory, and they offer exciting opportunities for new authentication and supply chain security technologies.},
doi = {10.1109/MSP.2014.123},
journal = {IEEE Security & Privacy},
number = 6,
volume = 12,
place = {United States},
year = {Sat Nov 01 00:00:00 EDT 2014},
month = {Sat Nov 01 00:00:00 EDT 2014}
}
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