TY - GEN
T1 - MC-PUF
AU - Sadhu, Pintu K.
AU - Yanambaka, Venkata P.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Physical Unclonable Functions (PDF) are the Hard-ware Assisted Security primitives for robust and lightweight se-curity in resource constrained environments, such as the Internet of Things (IoT). PDF takes 'challenges' as inputs and gives true random numbers, 'responses' as outputs. One of the challenges of PDF are to store the input challenges or send them from a server in resource constrained environments. To address the issue, this paper presents MC-PUF, a machine learning-based robust and lightweight controlled PUF which generates challenges based on the timestamp at the device to avoid storing the challenges.
AB - Physical Unclonable Functions (PDF) are the Hard-ware Assisted Security primitives for robust and lightweight se-curity in resource constrained environments, such as the Internet of Things (IoT). PDF takes 'challenges' as inputs and gives true random numbers, 'responses' as outputs. One of the challenges of PDF are to store the input challenges or send them from a server in resource constrained environments. To address the issue, this paper presents MC-PUF, a machine learning-based robust and lightweight controlled PUF which generates challenges based on the timestamp at the device to avoid storing the challenges.
KW - Cyber Physical Systems
KW - Hardware Assisted Security
KW - Internet of Things
KW - Physical Unclon-able Functions
UR - http://www.scopus.com/inward/record.url?scp=85140904973&partnerID=8YFLogxK
U2 - 10.1109/ISVLSI54635.2022.00102
DO - 10.1109/ISVLSI54635.2022.00102
M3 - Conference contribution
AN - SCOPUS:85140904973
T3 - Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
SP - 452
EP - 453
BT - Proceedings - 2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022
PB - IEEE Computer Society
Y2 - 4 July 2022 through 6 July 2022
ER -