Recent Advances in Chaotic Systems and Their Security Applications, 2nd edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 6017

Special Issue Editors


E-Mail Website
Guest Editor
Laboratory of Nonlinear Systems, Circuits & Coplexity (LaNSCom), Department of Physics, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
Interests: electrical and electronics engineering; mathematical modeling; control theory; engineering, applied and computational mathematics; numerical analysis; mathematical analysis; numerical modeling; modeling and simulation; robotics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Laboratory of Nonlinear Systems, Circuits & Complexity, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: chaos; control; observer design; cryptography
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mathematics Applications and Methods for Artificial Intelligence, Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: chaos; cryptography
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Physics, University of Aberdeen, Aberdeen AB24 3FX, UK
Interests: nonlinear dynamics; chaos; chaos-based communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The research on the applications of chaotic systems in security-related applications is active and constantly expanding. Researchers are using chaotic systems as a light source of pseudo-randomness in order to increase the complexity of a design, and protect it against adversaries. This refers to any situation where information must be kept or transmitted in a secure way.

The aim of this Special Issue is to advance the developments on security-related applications of chaotic systems. The topics span any research related to addressing the use of chaotic systems in information masking, encryption, cryptanalysis, secure communications, as well as hardware implementations of the above. Potential topics include the following:

- Continuous, discrete, fractional order, or quantum chaotic systems;

- Encryption of any type of data, like image, text, speech, or biomedical data;

- Random number generators;

- Watermarking;

- Compressed sensing;

- Secure communications;

- Any other security application in engineering and communications;

- Hardware implementations of the above.

Dr. Christos Volos
Dr. Lazaros Moysis
Dr. Marcin Lawnik
Dr. Murilo da Silva Baptista
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • chaos
  • cryptography
  • encryption
  • hardware implementations
  • nonlinear systems
  • random bit generators
  • security
  • synchronization
  • communications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (4 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 6987 KiB  
Article
Multistable Memristor Synapse-Based Coupled Bi-Hopfield Neuron Model: Dynamic Analysis, Microcontroller Implementation and Image Encryption
by Victor Kamdoum Tamba, Arsene Loic Mbanda Biamou, Viet-Thanh Pham and Giuseppe Grassi
Electronics 2024, 13(12), 2414; https://doi.org/10.3390/electronics13122414 - 20 Jun 2024
Cited by 9 | Viewed by 1345
Abstract
The memristor, a revolutionary electronic component, mimics both neural synapses and electromagnetic induction phenomena. Recent study challenges are the development of effective neural models and discovering their dynamics. In this study, we propose a novel Hopfield neural network model leveraging multistable memristors, showcasing [...] Read more.
The memristor, a revolutionary electronic component, mimics both neural synapses and electromagnetic induction phenomena. Recent study challenges are the development of effective neural models and discovering their dynamics. In this study, we propose a novel Hopfield neural network model leveraging multistable memristors, showcasing its efficacy in encoding biomedical images. We investigate the equilibrium states and dynamic behaviors of our designed model through comprehensive numerical simulations, revealing a rich array of phenomena including periodic orbits, chaotic dynamics, and homogeneous coexisting attractors. The practical realization of our model is achieved using a microcontroller, with experimental results demonstrating strong agreement with theoretical analyses. Furthermore, harnessing the chaos inherent in the neural network, we develop a robust biomedical image encryption technique, validated through rigorous computational performance tests. Full article
Show Figures

Figure 1

14 pages, 6863 KiB  
Article
A Closer Look at the Statistical Behavior of a Chaotic System with Message Inclusion for Cryptographic Applications
by Adina Elena Lupu (Blaj) and Adriana Vlad
Electronics 2024, 13(12), 2270; https://doi.org/10.3390/electronics13122270 - 10 Jun 2024
Viewed by 969
Abstract
One technique, especially in chaos-based cryptographic applications, is to include the message in the evolution of the dynamical system. This paper aims to find out if and to what extent the statistical behavior of the chaotic system is affected by the message inclusion [...] Read more.
One technique, especially in chaos-based cryptographic applications, is to include the message in the evolution of the dynamical system. This paper aims to find out if and to what extent the statistical behavior of the chaotic system is affected by the message inclusion in its dynamic evolution. The study is illustrated by the dynamical system described by the logistic map in cryptographic applications based on images. The evaluation of the statistical behavior was performed on an original scheme proposed. The Monte Carlo analysis of the applied Kolmogorov–Smirnov statistical test revealed that the dynamical system in the processing scheme with message inclusion does not modify its proper statistical behavior (revealed by definition relation). This was possible due to the proposed scheme designed. Namely, this scheme contains a decision switch which, supported by an appropriate choice of the magnitude of the scaling factor, ensures that the values of the dynamical system are maintained in the definition domain. The proposed framework for analyzing the statistical properties and for preserving the dynamical system behavior is one main contribution of this research. The message inclusion scheme also provides an enhancement with cryptographic mixing functions applied internally; the statistical behavior of the dynamical system is also analyzed in this case. Thus, the paper contributes to the theoretical complex characterization of the dynamical system considering also the message inclusion case. Full article
Show Figures

Figure 1

22 pages, 20786 KiB  
Article
Neural Chaotic Oscillation: Memristive Feedback, Symmetrization, and Its Application in Image Encryption
by Keyu Huang, Chunbiao Li, Yongxin Li, Tengfei Lei and Haiyan Fu
Electronics 2024, 13(11), 2138; https://doi.org/10.3390/electronics13112138 - 30 May 2024
Cited by 1 | Viewed by 1097
Abstract
The symmetry of neuron discharging has some relationship with the electrophysiological characteristics and dynamic behavior of a neuron, and has a close relation with the symmetry of ion channels, current balance, neuron type, synaptic transmission, and network effects. Among them, the feedback and [...] Read more.
The symmetry of neuron discharging has some relationship with the electrophysiological characteristics and dynamic behavior of a neuron, and has a close relation with the symmetry of ion channels, current balance, neuron type, synaptic transmission, and network effects. Among them, the feedback and interactions in the network have a particularly direct impact on the symmetrical discharge of a neuron element. This work introduces a memristor as a synapse into a neuron cell, taking the membrane potential back to ion channels, and therefore various symmetric firing behaviors of Hindmarsh–Rose (HR) neurons are observed, including chaos and various periodic firings. By further adjusting the feedback, coexisting symmetrical discharge of the neuron is achieved. Furthermore, the impact of frequency variations on the memristor synapse is analyzed, and thus the operating regimes of memristor and resistor are classified and discussed. Circuit simulations prove the neural chaotic firings along with their symmetrized discharging processes, demonstrating the effectiveness of symmetrical control of chaotic discharge. Finally, applying the symmetrical system to DNA image encryption can effectively protect the security of images. Full article
Show Figures

Figure 1

15 pages, 2844 KiB  
Article
Random Numbers Generated Based on Dual-Channel Chaotic Light
by Guopeng Liu, Penghua Mu, Kun Wang, Gang Guo, Xintian Liu and Pengfei He
Electronics 2024, 13(9), 1603; https://doi.org/10.3390/electronics13091603 - 23 Apr 2024
Cited by 1 | Viewed by 1229
Abstract
This paper presents a chaotic system based on novel semiconductor nanolasers (NLs), systematically analyzing its chaotic region and investigating the influence of key parameters on the unpredictability of chaotic output. This study found that under optical feedback conditions, NLs generate chaos across a [...] Read more.
This paper presents a chaotic system based on novel semiconductor nanolasers (NLs), systematically analyzing its chaotic region and investigating the influence of key parameters on the unpredictability of chaotic output. This study found that under optical feedback conditions, NLs generate chaos across a wide range of feedback parameters, with the highly unpredictable region completely overlapping with the chaotic region. Further injection into the slave lasers enhances the chaotic output, expanding the range of unpredictability. Additionally, we analyzed the impact of internal parameter mismatch on the complexity of chaotic signals and found it to be similar to the scenario when parameters are matched. Using this chaotic system as an entropy source, we constructed a random number generator (RNG) and investigated the effects of internal parameters mismatch and differences in the injection parameters on the generator’s performance. The simulation results show that the RNG performs well under different parameter settings, and the generated random sequences pass all random number tests successfully. Therefore, this chaotic system can yield a high-complexity chaotic light source with appropriate parameter selection, and when combined with effective post-processing, it can generate high-quality random numbers. This is crucial for advancing the realization of small-sized, high-randomness RNGs. Full article
Show Figures

Figure 1

Back to TopTop