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Machine Learning and Chaotic Cryptography
Submission DeadlineFeb. 20, 2020

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

Lead Guest Editor
Dr Souad Najoua Lagmiri
Higher Institute of Management Administration and Computer Engineering ISMAGI, Rabat, Morocco
Guest Editors
  • Said Hellam
    Ibn Tofail University, Kenitra, Morocco
  • Yassine Bouanani
    Higher Institute of Management Administration and Computer Engineering ISMAGI, Rabat, Morocco
  • Nordine Zidane
    Mohammed V University, Rabat, Morocco
  • Youssef Chouni
    Department of Computer Science, Faculty of Sciences, Rabat, Morocco
  • Hassan Bakhous
    Higher Institute of Management Administration and Computer Engineering ISMAGI, Rabat, Morocco
  • Mohammed El Harfaoui
    Higher Institute of Management Administration and Computer Engineering ISMAGI, Rabat, Morocco
Introduction
This special issue aims to promote discussions of research and relevant activities in the models and design of chaotic secure algorithms and applications for machine learning. We especially encourage chaotic security and privacy solutions that employ innovative machine learning techniques to tackle the issues of data volume management.
Aims and Scope:
  1. Machine learning
  2. Deep learning
  3. Cryptography
  4. Chaotic theory
  5. Big data
  6. Artificial intelligence
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=604).

Please download the template to format your manuscript.

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