Towards generating robust key based on neural networks and chaos theory
Other Title(s)
توليد مفتاح قوي يعتمد على الشبكات العصبية و نظرية الفوضى
Joint Authors
Mawlud, Abir Tariq
Khudayr, Ala'a Talib
Source
Issue
Vol. 59, Issue 3B (30 Sep. 2018), pp.1518-1530, 13 p.
Publisher
University of Baghdad College of Science
Publication Date
2018-09-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Mawlud, Abir Tariq& Khudayr, Ala'a Talib. 2018. Towards generating robust key based on neural networks and chaos theory. Iraqi Journal of Science،Vol. 59, no. 3B, pp.1518-1530.
https://search.emarefa.net/detail/BIM-875837
Modern Language Association (MLA)
Mawlud, Abir Tariq& Khudayr, Ala'a Talib. Towards generating robust key based on neural networks and chaos theory. Iraqi Journal of Science Vol. 59, no. 3B (2018), pp.1518-1530.
https://search.emarefa.net/detail/BIM-875837
American Medical Association (AMA)
Mawlud, Abir Tariq& Khudayr, Ala'a Talib. Towards generating robust key based on neural networks and chaos theory. Iraqi Journal of Science. 2018. Vol. 59, no. 3B, pp.1518-1530.
https://search.emarefa.net/detail/BIM-875837
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1530
Record ID
BIM-875837