TY - GEN
T1 - A performance metric for discrete-time chaos-based truly random number generators
AU - Beirami, Ahmad
AU - Nejati, Hamid
AU - Massoud, Yehia
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2008/10/27
Y1 - 2008/10/27
N2 - In this paper, we develop an information entropy-based metric that represents the statistical quality of the generated binary sequence in Truly Random Number Generators (TRNG). The metric can be used for the design and optimization of the TRNG circuits as well as the development of efficient post-processing units for recovering the degraded statistical characteristics of the signal due to process variations. ©2008 IEEE.
AB - In this paper, we develop an information entropy-based metric that represents the statistical quality of the generated binary sequence in Truly Random Number Generators (TRNG). The metric can be used for the design and optimization of the TRNG circuits as well as the development of efficient post-processing units for recovering the degraded statistical characteristics of the signal due to process variations. ©2008 IEEE.
UR - http://ieeexplore.ieee.org/document/4616754/
UR - http://www.scopus.com/inward/record.url?scp=54249089034&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2008.4616754
DO - 10.1109/MWSCAS.2008.4616754
M3 - Conference contribution
SN - 9781424421671
SP - 133
EP - 136
BT - Midwest Symposium on Circuits and Systems
ER -