Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A3L-C
Session:
Number:A3L-C-3
String Entropy as a Measure of Complexity in Chaotic Time Series
Takaya Miyano, Kenichiro Cho,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Chaotic time series generated by nonlinear dynamics are often used as pseudorandom numbers for cryptography. Here, we show a method for time series analysis to characterize complexities in chaotic dynamics in terms of string entropy, as a class of information entropy, estimated from the relative frequencies of binary-coded characters transformed from chaotic time series. We apply our method to various chaotic time series and discuss their performance as pseudorandom numbers for chaos-based cryptography.