Evolving Dynamic S-Boxes Using Fractional-Order Hopfield Neural Network Based Scheme
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evolving Dynamic S-Boxes Using Fractional-Order Hopfield Neural Network Based Scheme
Authors
Keywords
-
Journal
Entropy
Volume 22, Issue 7, Pages 717
Publisher
MDPI AG
Online
2020-06-29
DOI
10.3390/e22070717
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A new discrete-space chaotic map based on the multiplication of integer numbers and its application in S-box design
- (2020) Dragan Lambić NONLINEAR DYNAMICS
- On the effect of chaotic system in performance characteristics of chaos based s-box designs
- (2020) Fatih Özkaynak PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Generation of Dynamical S-Boxes for Block Ciphers via Extended Logistic Map
- (2020) B. B. Cassal-Quiroga et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A Novel Construction of Efficient Substitution-Boxes Using Cubic Fractional Transformation
- (2019) Amjad Zahid et al. Entropy
- An Analysis and Generation Toolbox for Chaotic Substitution Boxes: A Case Study Based on Chaotic Labyrinth Rene Thomas System
- (2019) Fatih Özkaynak Iranian Journal of Science and Technology-Transactions of Electrical Engineering
- A new construction of confusion component of block ciphers
- (2019) Khawaja Muhammad Ali et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A novel image steganography technique based on quantum substitution boxes
- (2019) Ahmed A. Abd EL-Latif et al. OPTICS AND LASER TECHNOLOGY
- A Novel S-Box Design Algorithm Based on a New Compound Chaotic System
- (2019) Lu et al. Entropy
- A Novel Technique to Improve Nonlinearity of Substitution Box Without Disturbing Its Mathematical Properties
- (2019) Abdul Razaq et al. WIRELESS PERSONAL COMMUNICATIONS
- Efficient construction of a substitution box based on a Mordell elliptic curve over a finite field
- (2019) Naveed Ahmed Azam et al. Frontiers of Information Technology & Electronic Engineering
- A New Hyperchaotic System-Based Design for Efficient Bijective Substitution-Boxes
- (2018) Eesa Al Solami et al. Entropy
- A novel efficient substitution-box design based on firefly algorithm and discrete chaotic map
- (2018) Hussam A. Ahmed et al. NEURAL COMPUTING & APPLICATIONS
- Chaotic S-box: six-dimensional fractional Lorenz–Duffing chaotic system and O-shaped path scrambling
- (2018) Tian Ye et al. NONLINEAR DYNAMICS
- ABC Optimization Based Construction of Strong Substitution-Boxes
- (2018) Musheer Ahmad et al. WIRELESS PERSONAL COMMUNICATIONS
- A Method of Generating 8 × 8 Substitution Boxes Based on Elliptic Curves
- (2018) Umar Hayat et al. WIRELESS PERSONAL COMMUNICATIONS
- Sine-Cosine Optimization-Based Bijective Substitution-Boxes Construction Using Enhanced Dynamics of Chaotic Map
- (2018) Amer Awad Alzaidi et al. COMPLEXITY
- An Injective S-Box Design Scheme over an Ordered Isomorphic Elliptic Curve and Its Characterization
- (2018) Naveed Ahmed Azam et al. Security and Communication Networks
- A Novel Method for Constructing the S-Box Based on Spatiotemporal Chaotic Dynamics
- (2018) Liyan Liu et al. Applied Sciences-Basel
- A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application
- (2018) Xiong Wang et al. Applied Sciences-Basel
- Construction of robust substitution boxes based on chaotic systems
- (2017) Fatih Özkaynak NEURAL COMPUTING & APPLICATIONS
- A Novel Construction of Substitution Box Involving Coset Diagram and a Bijective Map
- (2017) Abdul Razaq et al. Security and Communication Networks
- A novel construction of substitution box for image encryption applications with Gingerbreadman chaotic map and S8 permutation
- (2016) Majid Khan et al. NEURAL COMPUTING & APPLICATIONS
- Efficient cryptosystem approaches: S-boxes and permutation–substitution-based encryption
- (2016) Akram Belazi et al. NONLINEAR DYNAMICS
- A novel approach for strong S-Box generation algorithm design based on chaotic scaled Zhongtang system
- (2016) Ünal Çavuşoğlu et al. NONLINEAR DYNAMICS
- A Watermarking Technique with Chaotic Fractional S-Box Transformation
- (2016) Sajjad Shaukat Jamal et al. WIRELESS PERSONAL COMMUNICATIONS
- A new S-box construction method based on the fractional-order chaotic Chen system
- (2016) Fatih Özkaynak et al. Signal Image and Video Processing
- Construction of S-box based on chaotic Boolean functions and its application in image encryption
- (2015) Majid Khan et al. NEURAL COMPUTING & APPLICATIONS
- Designing S-boxes based on 3-D four-wing autonomous chaotic system
- (2015) Guangjie Liu et al. NONLINEAR DYNAMICS
- A novel image encryption scheme based on an improper fractional-order chaotic system
- (2015) Jianfeng Zhao et al. NONLINEAR DYNAMICS
- Highly Nonlinear Balanced S-Boxes With Good Differential Properties
- (2014) WeiGuo Zhang et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Efficient confusion–diffusion chaotic image cryptosystem using enhanced standard map
- (2014) Osama S. Faragallah Signal Image and Video Processing
- Synchronization of a Class of Fractional-Order Chaotic Neural Networks
- (2013) Liping Chen et al. Entropy
- Dynamic analysis of a class of fractional-order neural networks with delay
- (2013) Liping Chen et al. NEUROCOMPUTING
- Designing chaotic S-boxes based on time-delay chaotic system
- (2013) Fatih Özkaynak et al. NONLINEAR DYNAMICS
- An efficient construction of substitution box with fractional chaotic system
- (2013) Majid Khan et al. Signal Image and Video Processing
- An efficient method for the construction of block cipher with multi-chaotic systems
- (2012) Majid Khan et al. NONLINEAR DYNAMICS
- A method for designing strong S-Boxes based on chaotic Lorenz system
- (2010) Fatih Özkaynak et al. PHYSICS LETTERS A
- Synchronization of time-delayed systems with chaotic modulation and cryptography
- (2009) Santo Banerjee CHAOS SOLITONS & FRACTALS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started