Abstract
The previous chapters have recalled our various theoretical approaches using chaotic dynamical systems for pseudorandom number generations (PRNGs). They have been theoretically studied and hardware implementations have been designed. We now recall various software algorithms that can be proposed using these chaotic dynamical systems, and we evaluate their statistical behaviors using the three well-known batteries of tests in TestU01 already presented in this book.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
All the generators discussed in this chapter are defined in the appendix.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 The Author(s)
About this chapter
Cite this chapter
Wang, Q., Yu, S., Guyeux, C. (2018). Investigating the Statistical Improvements of Various Chaotic Iterations-Based PRNGs. In: Design of Digital Chaotic Systems Updated by Random Iterations. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-73549-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-73549-8_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73548-1
Online ISBN: 978-3-319-73549-8
eBook Packages: EngineeringEngineering (R0)