Abstract:
This brief proposes a class of nonlinear pseudorandom number generators (PRNGs) based on coupling linear generators (DX generators) with a nonlinear generator (digitized ...Show MoreMetadata
Abstract:
This brief proposes a class of nonlinear pseudorandom number generators (PRNGs) based on coupling linear generators (DX generators) with a nonlinear generator (digitized Logistic map). By breaking the linearity, the unpredictability of the proposed generators in the family of coupling PRNGs is enhanced while the nice properties of efficiency, long period, and excellent statistical properties are preserved. Furthermore, the hardware efficiencies are validated by hardware implementations using a TSMC 0.18μm CMOS process with a throughput rate greater than 8,000 Mbit/s. In addition to the extremely long period length, the proposed nonlinear PRNGs can generate random sequences that fulfill all the randomness requirements of NIST SP 800-22 test suite.
Published in: Anti-counterfeiting, Security, and Identification
Date of Conference: 24-26 August 2012
Date Added to IEEE Xplore: 11 October 2012
ISBN Information: