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Debiasing of SRAM PUFs: Selection and Balancing

2019 IEEE International Workshop on Information Forensics and Security (WIFS), 2019
Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing.
Kusters, Lieneke, Willems, Frans M.J.
openaire   +2 more sources

The Littlest SRAM

IEEE Spectrum, 2010
A new type of lithography that uses an electron beam to spark a chemical reaction could provide a way to build incredibly tiny transistors, which the chipmaking industry will require in a few years. Researchers from Taiwan and the University of California, Berkeley, say they've made static RAM that anticipates 16-nanometer chip features using a new ...
openaire   +1 more source

Sram

2022
Vishal Sharma, Shivani Godha
openaire   +1 more source

SRAM

2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 2007
Kevin Zhang 0001, Hiroyuki Yamauchi
openaire   +1 more source

Design of High Stability, Low Power and High Speed 12 T SRAM Cell in 32-Nm CNTFET Technology

AEU - International Journal of Electronics and Communications, 2022
Elangovan Mani   +2 more
exaly  

SRAM

2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers, 2008
Hiroyuki Yamauchi, Peter Rickert
openaire   +1 more source

The Complementary FET (CFET) 6T-SRAM

IEEE Transactions on Electron Devices, 2021
Doyoung Jang, Mohit Gupta, Wim Dehaene
exaly  

SRAMs

2020
Navneet Gupta   +4 more
openaire   +1 more source

A Comprehensive Study of Nanosheet and Forksheet SRAM for Beyond N5 Node

IEEE Transactions on Electron Devices, 2021
Doyoung Jang, Mohit Gupta, Wim Dehaene
exaly  

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