ReviewBioengineering (Basel, Switzerland)2025
Medical Image Encryption Using Chaotic Mechanisms: A Study.
Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- HL-IEM: a Hilbert-Logistic dual-layer chaotic encryption mechanism for lightweight and secure image communication.Scientific reports · 2026Article
- Modified Chaotic Hénon Map-Based Text Information Encryption and Hiding Mechanism Using Bottlenose Dolphin Vocalizations.Sensors (Basel, Switzerland) · 2026Article
- A hybrid blowfish-based cryptography and chaotic quantization steganography framework with genetic key generation.Scientific reports · 2026Article
- An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography.Scientific reports · 2026Article
- An efficient image encryption scheme based on Lorenz system and quantum-inspired walks.Scientific reports · 2026Article
- A Secure and Efficient Framework for ECG Signal Digitization and Encryption for Internet of Medical Things Applications.Healthcare technology lettersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical clinical images have a larger number of bits, and real-time and robust medical encryption systems with a high security level, a large key space, high unpredictability, better bifurcation behavior, low computational complexity, and good encryption outcomes are significant design challenges. Chaotic medical image encryption (MIE) has become an important research area in advanced MIE strategies. Chaotic MIE technology can be used in medical image storage systems, cloud-based medical systems, healthcare systems, telemedicine, mHealth, picture archiving and communication systems, digital imaging and communication in medicine, and telehealth. This study focuses on several basic frameworks for chaos-based MIE. Multiple chaotic maps, robust chaos-based techniques, and fast and simple chaotic system designs of chaos-based MIE are demonstrated. The major technical notes, features and effectiveness of chaos-based MIE are investigated for future research directions. The chaotic maps of MIE are illustrated, and security evaluation methods for chaos-based MIE are explored. Design issues in the implementation of chaos-based MIE are demonstrated. The findings can inspire researchers to design an innovative, advanced chaos-based MIE system to better protect MIs against attacks and ensure robust MIE.
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Registered trials
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