Towards Generating Robust Key Based on Neural Networks and Chaos Theory

  • Abeer Tariq Maolood Department of Computer Science, University of Technology, Baghdad, Iraq
  • Ala'a Talib Khudhair Department of Computer Science, University of Technology, Baghdad, Iraq

Abstract

There are large numbers of weakness in the generated keys of security algorithms. This paper includes a new algorithm to generate key of 5120 bits for a new proposed cryptography algorithm for 10 rounds that combine neural networks and chaos theory (1D logistic map). Two methods of neural networks (NN) are employed as Adaline and Hopfield and the results are combined through several sequential operation. Carefully integrating high quality random number generators from neural networks and chaos theory to obtain suitable key for randomness and complexity.

Published
Aug 30, 2018
How to Cite
MAOLOOD, Abeer Tariq; KHUDHAIR, Ala'a Talib. Towards Generating Robust Key Based on Neural Networks and Chaos Theory. Iraqi Journal of Science, [S.l.], p. 1518-1530, aug. 2018. ISSN 2312-1637. Available at: <http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/394>. Date accessed: 18 nov. 2018.
Section
Computer Science