Lightweight secure PUFs

By Mehrdad Majzoobi, Farinaz Koushanfar, Miodrag Potkonjak. IEEE/ACM International Conference on Computer-Aided Design, 2008

355 citations recorded by the source corpus.

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Secure and robust error correction for physical unclonable functions (2010, methodology): “suggested using two-stage coding to reduce error correction complexity through heavy use of repetition coding and conventional syndrome generation using XOR masking.(4) However, this work didn’t directly address the case in which a PUF has DC bias and how that affects information leakage through rep”
Physical Unclonable Functions and Applications: A Tutorial (2014, methodology): “These efforts included xor arbiter PUFs, lightweight secure PUFs, and feedforward arbiter PUFs [8], [16], [17], [22], [39].”
Modeling attacks on physical unclonable functions (2010, methodology): “Arb-PUFs via an additive linear delay model [17] [10] [19].”
PUF Modeling Attacks on Simulated and Silicon Data (2013, methodology): “(2) From the different optimization methods which we tested in our ML experiments (standard gradient descent, iterative reweighted least squares, RProp [2], [35]), RProp gradient descent performed best.”