@inproceedings{f921dd6c468347feac830aad50948521,
title = "A Novel Physical Unclonable Function: NBTI-PUF Realized by Random Trap Fluctuation (RTF) Enhanced True Randomness in 14 nm FinFET Platform",
abstract = "For the first time, the negative-bias-temperature-instability (NBTI) enhanced drain current variation in FinFET is used as an entropy source of the Physical Unclonable Function (PUF) to realize a new NBTI-PUF. The results show that the higher-temperature NBTI stress applied on the PUF, a much better security of the PUFs can be achieved, including 46% improvement of Inter Hamming Distance (HD), 71% improvement of Intra-HD, 40% improvement of Hamming Weight, and 15-fold-decrease of Bit-error-rate. Furthermore, the NBTI-PUFs have passed 13 items of NIST tests under 150°C.",
author = "Lin, {L. C.} and Hsieh, {E. R.} and Kao, {T. C.} and Lee, {M. Y.} and Chang, {J. K.} and Guo, {J. C.} and Chung, {Steve S.} and Chen, {T. P.} and Huang, {S. A.} and Chen, {T. J.} and O. Cheng",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022 ; Conference date: 18-04-2022 Through 21-04-2022",
year = "2022",
doi = "10.1109/VLSI-TSA54299.2022.9770980",
language = "English",
series = "2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022",
address = "美國",
}