Open AccessChaotic Binary Sequence Generator based on Logistic Map
Author(s) -
K. Chidananda Murthy*,
Mahalinga V Mandi,
R. Murali
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5297.118419
Subject(s) - pseudorandom number generator , chaotic , pseudorandom binary sequence , binary number , generator (circuit theory) , random number generation , logistic map , algorithm , sequence (biology) , binary data , computer science , thresholding , ergodicity , test suite , mathematics , theoretical computer science , artificial intelligence , statistics , arithmetic , test case , power (physics) , physics , regression analysis , quantum mechanics , biology , image (mathematics) , genetics
Pseudorandom binary sequences find various applications in different areas such as security, communication, steganography and cryptography. The properties like sensitivity to initial condition, ergodicity, mixing property and dynamic behavior are used in the designing of random number generators known as chaotic systems. In this study, an efficient chaotic binary sequence generator using logistic map is proposed, implemented and analyzed. The proposed binary sequence generator generates 50 chaotic sequences by varying initial condition with fixed system parameter. Subsequently, the generated sequences are transformed to binary sequences using thresholding method. The output of binary sequences is statistically tested with FIPS 140-2 test suite in order to identify the specific properties expected for truly random binary sequences. The experimental results prove that the generated binary sequences possess identical characteristics of true random numbers and can pass all tests of FIPS 140-2 test suite.