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Cutting-Edge Research in Nonlinear Dynamics, Memristive Devices, and Secure Image Processing

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 301

Special Issue Editors


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Guest Editor
Dalian Key Laboratory of Smart Fishery, Liaoning Key Laboratory of Marine Information Technology, College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Interests: nonlinear dynamics; chaos; image encryption; image compression; image watermark

E-Mail Website
Guest Editor
Shandong Academy of Sciences, Qilu University of Technology, Jinan 250353, China
Interests: image watermarking; deepfake detection; image moments; watermarking attack; information hiding
Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology, Jinan, China
Interests: cryptography; information security; amp; security; image encryption; multimedia security; nonlinear dynamics; memristor; memristive; watermark; bifurcation theory; information steganography; jpeg

Special Issue Information

Dear Colleagues,

In today's digital age, safeguarding sensitive information has become paramount across critical sectors including finance, healthcare, and personal communication. The vulnerability of digital data to unauthorized access, cyberattacks, and privacy breaches necessitates robust security solutions. Techniques such as image encryption, watermarking, and information hiding offer essential mechanisms to protect visual data integrity, ensure confidentiality, and verify authenticity during storage and transmission. The increasing sophistication of threats demands continuous advancement in these security paradigms to maintain trust and security in digital interactions.

This special issue welcomes novel contributions leveraging nonlinear dynamics, chaotic systems, and memristive devices for enhancing information security. We encourage research on chaotic systems for generating highly unpredictable sequences crucial for encryption keys. Studies exploring memristors for their unique physical properties in designing secure circuits or novel encryption schemes are highly relevant. Furthermore, advancements in image encryption exploiting chaos and nonlinearity, robust digital watermarking techniques resistant to attacks, and sophisticated methods for imperceptibly embedding information within cover media are all within the scope. Performance evaluation metrics for these techniques are also pertinent.

The primary goal of this special issue is to foster cutting-edge research at the intersection of nonlinear science and information security. We aim to provide a platform for disseminating innovative algorithms, theoretical insights, and practical applications related to secure data protection using chaos, memristors, and advanced image processing. The issue seeks contributions that address challenges like designing high-performance encryption systems resistant to cryptanalysis, developing watermarking schemes with high robustness and capacity, and creating efficient information hiding methods. Furthermore, studies evaluating the security strength, computational efficiency, and practical feasibility of proposed solutions are strongly encouraged.

Dr. Mingxu Wang
Dr. Chunpeng Wang
Dr. Qi Li
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 250 words) can be sent to the Editorial Office for assessment.

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. Entropy is an international peer-reviewed open access monthly 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 2600 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

  • nonlinear dynamics
  • chaos
  • image processing
  • deepfake detection
  • image moments
  • watermarking attack
  • information hiding
  • image steganography
  • AI security
  • computer vision

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Published Papers (1 paper)

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Research

21 pages, 2447 KB  
Article
3D-TCM-Driven Bit-Level Image Encryption via S-Box Feedback Algorithm
by Jie Zhang, Wenjie Zhou, Mingxu Wang and Yiting Lin
Entropy 2026, 28(5), 535; https://doi.org/10.3390/e28050535 - 8 May 2026
Viewed by 158
Abstract
Most existing low-dimensional chaotic maps suffer from a limited dynamical complexity and dynamic degradation, which restrict their effectiveness in image encryption. To address this issue, a novel three-dimensional chaotic map (3D-TCM) was constructed to improve dynamical complexity and stability, and its superiority was [...] Read more.
Most existing low-dimensional chaotic maps suffer from a limited dynamical complexity and dynamic degradation, which restrict their effectiveness in image encryption. To address this issue, a novel three-dimensional chaotic map (3D-TCM) was constructed to improve dynamical complexity and stability, and its superiority was verified through a dynamical analysis. Based on these advantages, a plaintext-related image encryption scheme was designed by combining bit-level permutation and S-box-based diffusion. The experimental results show that the proposed scheme achieved high information entropy, a low pixel correlation, and desirable NPCR and UACI values, and successfully passed NIST SP800-22 statistical tests, demonstrating a strong resistance to differential attacks and overall robustness. Full article
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