Black-Box Attack Using Neuro-Identifier - Couverture souple

Al Ubaidy, Mahmood Khalel

Couverture souple

ISBN 10 : 333097561X ISBN 13 : 9783330975613

Editeur : Noor Publishing, 2017

Synopsis

In this book, the cryptanalysis problem of unknown cipher system is presented as a Black-Box, nonlinear, system identification problem, which assumes no priori knowledge about the cipher system except its input and output. Black-Box model is constructed using Artificial Neural Networks to attack the target cipher system, with the addition of building an equivalent Neuro-Model for the target cipher system. In cryptanalysis terminology, it is a known-plaintext attack. The constructed Neuro-Identifier has been used in two different approaches; the objective of the first approach is to determine the enciphering key, which is a total break and represent the ultimate performance of any cryptanalysis method. The cryptanalysis objectives are achieved in this approach. The aim of the second approach is to build an equivalent Neuro-Model for the target cipher system, which presents a new direction in cryptology. The constructed Neuro-Model can be regarded as an equivalent model for the real target system, which is a valuable product in many cases where the real system is not available.

Détails de l'édition

• Éditeur: Noor Publishing
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 333097561X
• ISBN 13: 9783330975613
• Reliure: Broché
• Nombre de pages: 120
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible