Title
Implementation of a Chaotic True Random Number Generator Based on Fuzzy Modeling
Abstract
The present work demonstrates a new approach to design a chaos-based random number generator, for high-security communications and cryptographic applications. In our approach, a single-scroll chaotic system is modeled by a fuzzy logic circuit, with the support of physical entropy sources. Because of a strong dependence on the initial conditions of the chaotic system, physical entropy sources are chosen to enrich the randomness of the overall signal outcome. The modeling of the chaotic map by fuzzy logic circuits enhance the system immunity to noise and assure a certain degree of parameter deviation robustness. The frequency, operating up to 10 MHz, provides high throughput random sequences, which pass the test of full NIST random number test suite. The system is implemented in an analog circuit using a standard CMOS 65 nm technology to verify the advantages of the proposed system.
Year
DOI
Venue
2018
10.1109/NEWCAS.2018.8585501
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)
Keywords
Field
DocType
analog circuit,chaotic true random number generator,fuzzy modeling,chaos-based random number generator,high-security communications,cryptographic applications,single-scroll chaotic system,fuzzy logic circuit,physical entropy sources,chaotic map,parameter deviation robustness,random sequences,NIST random number test suite,standard CMOS technology,size 65.0 nm
Test suite,Computer science,Fuzzy logic,Electronic engineering,Robustness (computer science),NIST,Random number generation,Chaotic,Electronic circuit,Randomness
Conference
ISSN
ISBN
Citations 
2472-467X
978-1-5386-4860-5
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
T. T. Ngoc Nguyen100.34
Georges Kaddoum287494.42
Francois Gagnon313133.07