Secure and robust error correction for physical unclonable functions

By Meng-Day (Mandel) Yu, Srini Devadas. IEEE Design & Test of Computers, 2010

376 citations recorded by the source corpus.

Physical unclonable functions (PUFs) offer a promising mechanism that can be used in many security, protection, and digital rights management applications. One key issue is the stability of PUF responses that is often addressed by error correction codes. The authors propose a new syndrome coding scheme that limits the amount of leaked information by the PUF error-correcting codes.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/c4ddd1f930ffbda16418dacc5bfb53aac3aa58c1

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In Cellular and Molecular Neuroscience

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Citations in the corpus

Physical unclonable functions (2020, methodology): “Credit: Fingerprint image in a , Andrey Kuzmin / Alamy Stock Vector required to derive a fixed-length key 31 , which is commonplace in key generation research 28,32–34 .”
Physical Unclonable Functions and Applications: A Tutorial (2014, methodology): “Note that in this figure, the two interchip variations are roughly 50% (128 bits out of 256), and the intrachip varia, tions are much smaller ( (cid”
Improved Ring Oscillator PUF: An FPGA-friendly Secure Primitive (2011, methodology): “proposed a method of quantization called index-based syndrome coding to convert RO frequencies into binary strings [11].”