Imperial College London

Dr Timothy Constandinou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Neural Microsystems
 
 
 
//

Contact

 

+44 (0)20 7594 0790t.constandinou Website

 
 
//

Assistant

 

Miss Izabela Wojcicka-Grzesiak +44 (0)20 7594 0701

 
//

Location

 

B407Bessemer BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Gao:2017,
author = {Gao, C and Ghoreishizadeh, S and Liu, Y and Constandinou, TG},
pages = {678--681},
publisher = {IEEE},
title = {On-chip ID generation for multi-node implantable devices using SA-PUF},
url = {http://hdl.handle.net/10044/1/46110},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - This paper presents a 64-bit on-chip identification system featuring low power consumption and randomness compensation for multi-node bio-implantable devices. A sense amplifier based bit-cell is proposed to realize the silicon physical unclonable function, providing a unique value whose probability has a uniform distribution and minimized influence from the temperature and supply variation. The entire system is designed and implemented in a typical 0.35 m CMOS technology, including an array of 64 bit-cells, readout circuits, and digital controllers for data interfaces. Simulated results show that the proposed bit-cell design achieved a uniformity of 50.24% and a uniqueness of 50.03% for generated IDs. The system achieved an energy consumption of 6.0 pJ per bit with parallel outputs and 17.3 pJ per bit with serial outputs.
AU - Gao,C
AU - Ghoreishizadeh,S
AU - Liu,Y
AU - Constandinou,TG
EP - 681
PB - IEEE
PY - 2017///
SP - 678
TI - On-chip ID generation for multi-node implantable devices using SA-PUF
UR - http://hdl.handle.net/10044/1/46110
ER -