TY  - JOUR
T1  - PRNG Impementation Based on Chaotic Neural Network (CNN)
AU - Ibrahim Shujaa, Mohamed 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 18
SP  - 6714
EP  - 6722
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.6714.6722
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.6714.6722
KW  - Chaotic neural network
KW  -pseudo-random number
KW  -prediction
KW  -system complexity
KW  -NIST
KW  -traditional
implementations
AB  - In this research, a neural network with chaos activation function has been applied as a
Pseudo-Random Number Generator (PRNG). Chaotic Neural Network (CNN) is used because of its noise like
behaviour which is important for cryptanalyst to know about the hidden information as it is hard to predict. A
suitable adaptive architecture was adopted to generate a binary number and the result was examined for
randomness using National Institute of Standard Technology (NIST) randomness tests. Although, the
applications of CNN in cryptography have less effective than traditional implementations, this is because these
systems need large numbers of digital logic or even a computer system. This research will focus on applications
that can use the proposed system in an efficient way that minimize the system complexity.
ER  -