Cryptanalysis of various images based on neural networks with leakage and time varying delays-Reference-Cited by-同舟云学术

Cryptanalysis of various images based on neural networks with leakage and time varying delays

Published:2022-10-11 Issue:0 Volume:0 Page:
ISSN:2191-0294
Container-title:International Journal of Nonlinear Sciences and Numerical Simulation
language:en
Short-container-title:

Author:

Manikandan Munia Samy¹²,Ong Seng Huat¹^ORCID

Affiliation:

1. Department of Actuarial Science and Applied Statistics, Faculty of Business & Management , UCSI University , Kuala Lumpur , Malaysia

2. Finsoft Consulting Sdn Bhd, Petaling Jaya , Kuala Lumpur , Malaysia

Abstract

Abstract The main objective of this paper is to provide an efficient image encryption for each and every single person in order to secure their own records while saving them in social networks. We have formulated the delayed fuzzy cellular neural networks (FCNNs) with suitable keys that are the values of the parameters of FCNNs and obtain the irregular dynamical signal (solution) which encrypts the images. We have utilized entirely 42 parameters as a key sensitivity in the order of 10−15 among them three elements of initial condition parameters are sensitive to the order of 10−14. Lastly, comparison results are provided with the existing literature. The measurements show that the proposed algorithm is a novel overall solution for image encryption.

Funder

Ministry of Higher Education Malaysia

UCSI University

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Link

https://www.degruyter.com/document/doi/10.1515/ijnsns-2021-0444/pdf

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