Please use this identifier to cite or link to this item:
Title: True pseudo-random number generation using chaotic maps
Authors: Chong, Wei Zhen
Keywords: DRNTU::Engineering::Aeronautical engineering
Issue Date: 2015
Abstract: In this paper, a new algorithm for generating True Pseudo-Random Number Generator (TPRNG) is proposed. This TPRNG uses chaos theory in dynamic systems that are highly sensitive to changes in initial conditions. The proposed algorithm uses a modified version of the logistic map to generate large sequence of pseudo-random numbers. The performance of the TPRNG is evaluated through exploratory data analysis and several statistical tests from the DIEHARD test suite. The results were promising as they suggest that the numbers have a good distribution and are highly random and independent for a wide range of parameters. Further tests were conducted to compare the TPNG against other existing generators. The analysis showed that the TPRNG is truly more random than common generators used. It can be concluded that the TPRNG can generate a large amount of usable random numbers that are suitable for simulations and other scientific computing applications. Further improvements and recommendations were discussed as well.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP final.pdf
  Restricted Access
2.04 MBAdobe PDFView/Open

Page view(s) 20

checked on Sep 28, 2020

Download(s) 20

checked on Sep 28, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.