Title
On the short-term predictability of fully digital chaotic oscillators for pseudo-random number generation
Abstract
This paper presents a digital implementation of a 3rd order chaotic system using the Euler approximation. Short-term predictability is studied in relation to system precision, Euler step size and attractor size and optimal parameters for maximum performance are derived. Defective bits from the native chaotic output are neglected and the remaining pass the NIST SP. 800-22 tests without post-processing. The resulting optimized pseudorandom number generator has throughput up to 17.60 Gbits/s for a 64-bit design experimentally verified on a Xilinx Virtex 4 FPGA with logic utilization less than 1.85%.
Year
DOI
Venue
2013
10.1109/ICECS.2013.6815432
Electronics, Circuits, and Systems
Keywords
Field
DocType
chaos generators,field programmable gate arrays,oscillators,random number generation,3rd order chaotic system,Euler approximation,Euler step size,NIST SP. 800-22 tests,Xilinx Virtex 4 FPGA,attractor size,digital chaotic oscillators,native chaotic output,optimized pseudorandom number generator,short-term predictability,storage capacity 64 bit,system precision
Attractor,Predictability,Euler method,Computer science,Euler's formula,Electronic engineering,NIST,Virtex,Chaotic,Pseudorandom number generator
Conference
Citations 
PageRank 
References 
2
0.40
9
Authors
4
Name
Order
Citations
PageRank
Ahmed G. Radwan141079.37
Abhinav S. Mansingka2212.15
M. Affan Zidan3618.16
Khaled N. Salama434546.11