TY - GEN
T1 - Security primitive design with nanoscale devices
T2 - 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016
AU - Karam, Robert
AU - Liu, Rui
AU - Chen, Pai Yu
AU - Yu, Shimeng
AU - Bhunia, Swarup
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).
AB - Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).
KW - Hardware security
KW - PUF
KW - RRAM
KW - Resistance variation
KW - Security of nanoscale devices
KW - Switching probability
KW - TRNG
UR - http://www.scopus.com/inward/record.url?scp=84974715629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84974715629&partnerID=8YFLogxK
U2 - 10.1145/2902961.2903042
DO - 10.1145/2902961.2903042
M3 - Conference contribution
AN - SCOPUS:84974715629
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 299
EP - 304
BT - GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
Y2 - 18 May 2016 through 20 May 2016
ER -